Publications

This page contains information about the Publications data source in the Dimensions BigQuery project.

See also

Dimensions DSL API Documentation for this type is also available from here.

Publications Schema

Field

Type

Description

Example

abstract

Entity: BilingualValue

The abstract of a publication.

 
      {"preferred": "Objective  Present study investigated the mechanism of heart failure associated with coronavirus infection and predicted potential effective therapeutic drugs against heart failure associated with coronavirus infection.   Methods  Coronavirus and heart failure were searched in the Gene Expression Omnibus (GEO) and omics data were selected to meet experimental requirements. Differentially expressed genes were analyzed using the Limma package in R language to screen for differentially expressed genes. The two sets of differential genes were introduced into the R language cluster Profiler package for gene ontology (GO) and Kyoto gene and genome encyclopedia (KEGG) pathway enrichment analysis. Two sets of intersections were taken. A protein interaction network was constructed for all differentially expressed genes using STRING database and core genes were screened. Finally, the apparently accurate treatment prediction platform (EpiMed) independently developed by the team was used to predict the therapeutic drug.   Results  The GSE59185 coronavirus data set was searched and screened in the GEO database, and divided into wt group, \u0394E group, \u03943 group, \u03945 group according to different subtypes, and compared with control group. After the difference analysis, 191 up-regulated genes and 18 down-regulated genes were defined. The GEO126062 heart failure data set was retrieved and screened from the GEO database. A total of 495 differentially expressed genes were screened, of which 165 were up-regulated and 330 were down-regulated. Correlation analysis of differentially expressed genes between coronavirus and heart failure was performed. After cross processing, there were 20 GO entries, which were mainly enriched in virus response, virus defense response, type \u2160 interferon response, \u03b3 interferon regulation, innate immune response regulation, negative regulation of virus life cycle, replication regulation of viral genome, etc . There are 5 KEGG pathways, mainly interacting with tumor necrosis factor signaling pathway, IL-17 signaling pathway, cytokine and receptor interaction, Toll-like receptor signaling pathway, human giant cells viral infection related. All differentially expressed genes were introduced into the SREING online analysis website for protein interaction network analysis, and core genes such as \tsignal transducer and activator of transcription 3, IL-10, IL17, TNF, \tinterferon regulatory factor 9, \t2'-5'-oligoadenylate synthetase 1, \tmitogen-activated protein kinase 3, \tradical s-adenosyl methionine domain containing 2, \tc-x-c motif chemokine ligand 10, caspase 3 and other genes were screened. The drugs predicted by EpiMed's apparent precision treatment prediction platform for disease-drug association analysis are mainly TNF-\u03b1 inhibitors, resveratrol, ritonavir, paeony, retinoic acid, forsythia, and houttuynia cordata.   Conclusions  The abnormal activation of multiple inflammatory pathways may be the cause of heart failure in patients after coronavirus infection. Resveratrol, ritonavir, retinoic acid, amaranth, forsythia, houttuynia may have therapeutic effects. Future basic and clinical research is warranted to validate present results and hypothesis.", "original": "\u76ee\u7684  \u63a2\u8ba8\u51a0\u72b6\u75c5\u6bd2\u611f\u67d3\u6240\u81f4\u5fc3\u529b\u8870\u7aed(\u5fc3\u8870)\u7684\u673a\u5236,\u5e76\u9884\u6d4b\u5bf9\u5176\u53ef\u80fd\u6709\u7597\u6548\u7684\u836f\u7269\u3002   \u65b9\u6cd5  \u5728\u57fa\u56e0\u8868\u8fbe\u6570\u636e\u5e93(GEO)\u68c0\u7d22\u51a0\u72b6\u75c5\u6bd2\u548c\u5fc3\u8870,\u5e76\u7b5b\u9009\u7b26\u5408\u5b9e\u9a8c\u8981\u6c42\u7684\u7ec4\u5b66\u6570\u636e\u3002\u91c7\u7528R\u8bed\u8a00Limma\u7a0b\u5e8f\u5305\u8fdb\u884c\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0\u5206\u6790,\u7b5b\u9009\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0\u3002\u5c06\u4e24\u7ec4\u5dee\u5f02\u57fa\u56e0\u5bfc\u5165R\u8bed\u8a00clusterProfiler\u5305\u8fdb\u884c\u57fa\u56e0\u672c\u4f53\u5b66(GO)\u548c\u4eac\u90fd\u57fa\u56e0\u4e0e\u57fa\u56e0\u7ec4\u767e\u79d1\u5168\u4e66(KEGG)\u901a\u8def\u5bcc\u96c6\u5206\u6790,\u53d6\u4e24\u7ec4\u7ed3\u679c\u7684\u4ea4\u96c6\u3002\u91c7\u7528STRING\u6570\u636e\u5e93\u5bf9\u6240\u6709\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0\u6784\u5efa\u86cb\u767d\u8d28\u4e92\u4f5c\u7f51\u7edc\u5e76\u7b5b\u9009\u6838\u5fc3\u57fa\u56e0\u3002\u6700\u540e\u91c7\u7528\u56e2\u961f\u81ea\u4e3b\u7814\u53d1\u7684\u8868\u89c2\u7cbe\u51c6\u6cbb\u7597\u9884\u6d4b\u5e73\u53f0EpiMed\u9884\u6d4b\u51a0\u72b6\u75c5\u6bd2\u6240\u81f4\u5fc3\u8870\u7684\u6cbb\u7597\u836f\u7269\u3002   \u7ed3\u679c  \u5728GEO\u6570\u636e\u5e93\u68c0\u7d22\u5e76\u7b5b\u9009\u5f97\u5230GSE59185\u51a0\u72b6\u75c5\u6bd2\u6570\u636e\u96c6,\u6839\u636e\u4e0d\u540c\u7684\u4e9a\u578b\u5206\u4e3awt\u7ec4\u3001\u2206E\u7ec4\u3001\u22063\u7ec4\u3001\u22065\u7ec4\u3001\u5bf9\u7167\u7ec45\u7ec4\u6837\u672c,\u5dee\u5f02\u5206\u6790\u53d1\u73b0\u5404\u4e9a\u7ec4\u4ea4\u96c6\u4e0a\u8c03\u57fa\u56e0191\u4e2a,\u4e0b\u8c03\u57fa\u56e018\u4e2a\u3002\u5728GEO\u6570\u636e\u5e93\u68c0\u7d22\u5e76\u7b5b\u9009\u5f97\u5230GSE126062\u5fc3\u8870\u6570\u636e\u96c6,\u5171\u7b5b\u9009\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0495\u4e2a,\u5176\u4e2d\u4e0a\u8c03165\u4e2a,\u4e0b\u8c03330\u4e2a\u3002\u51a0\u72b6\u75c5\u6bd2\u4e0e\u5fc3\u8870\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0\u5bcc\u96c6\u5206\u6790,\u53d6\u4ea4\u96c6\u5904\u7406\u5171\u6709GO\u6761\u76ee20\u6761,\u4e3b\u8981\u5bcc\u96c6\u5728\u75c5\u6bd2\u53cd\u5e94\u3001\u75c5\u6bd2\u9632\u5fa1\u53cd\u5e94\u3001\u2160\u578b\u5e72\u6270\u7d20\u53cd\u5e94\u3001\u03b3\u5e72\u6270\u7d20\u8c03\u8282\u3001\u5148\u5929\u514d\u75ab\u53cd\u5e94\u8c03\u8282\u3001\u75c5\u6bd2\u751f\u547d\u5468\u671f\u8d1f\u8c03\u63a7\u3001\u75c5\u6bd2\u57fa\u56e0\u7ec4\u590d\u5236\u8c03\u63a7\u7b49;\u5171\u67095\u6761KEGG\u901a\u8def,\u4e3b\u8981\u4e0e\u80bf\u7624\u574f\u6b7b\u56e0\u5b50(TNF)\u4fe1\u53f7\u901a\u8def\u3001\u767d\u7ec6\u80de\u4ecb\u7d20(IL)-17\u4fe1\u53f7\u901a\u8def\u3001\u7ec6\u80de\u56e0\u5b50\u4e0e\u53d7\u4f53\u76f8\u4e92\u4f5c\u7528\u3001Toll\u6837\u53d7\u4f53\u4fe1\u53f7\u901a\u8def\u3001\u4eba\u7c7b\u5de8\u7ec6\u80de\u75c5\u6bd2\u611f\u67d3\u6709\u5173\u3002\u86cb\u767d\u4e92\u4f5c\u7f51\u7edc\u5206\u6790\u7b5b\u9009\u51fa\u4fe1\u53f7\u4f20\u5bfc\u53ca\u8f6c\u5f55\u6fc0\u6d3b\u86cb\u767d3\u3001IL-10\u3001IL-17\u3001TNF\u3001\u5e72\u6270\u7d20\u8c03\u8282\u56e0\u5b509\u30012',5'-\u5be1\u817a\u82f7\u9178\u5408\u6210\u91761\u3001\u4e1d\u88c2\u539f\u6d3b\u5316\u86cb\u767d\u6fc0\u91763\u3001S-\u817a\u82f7\u7532\u786b\u6c28\u9178\u57fa\u533a\u57df\u86cb\u767d2\u3001CXC\u8d8b\u5316\u56e0\u5b50\u914d\u4f5310\u3001\u534a\u80f1\u6c28\u9178\u5929\u51ac\u6c28\u9178\u86cb\u767d\u91763\u517110\u4e2a\u6838\u5fc3\u57fa\u56e0\u3002EpiMed\u5e73\u53f0\u9884\u6d4b\u53ef\u80fd\u5bf9\u51a0\u72b6\u75c5\u6bd2\u6240\u81f4\u5fc3\u8870\u6709\u6548\u7684\u836f\u7269\u4e3aTNF-\u03b1\u6291\u5236\u5242\u3001\u767d\u85dc\u9187\u3001\u5229\u6258\u90a3\u97e6\u3001\u767d\u828d\u3001\u7ef4\u7532\u9178\u3001\u8fde\u7fd8\u3001\u9c7c\u8165\u8349\u7b49\u3002   \u7ed3\u8bba  \u591a\u4e2a\u708e\u75c7\u901a\u8def\u7684\u5f02\u5e38\u6d3b\u5316\u53ef\u80fd\u662f\u51a0\u72b6\u75c5\u6bd2\u611f\u67d3\u6240\u81f4\u5fc3\u8870\u7684\u539f\u56e0,\u767d\u85dc\u82a6\u9187\u3001\u5229\u6258\u90a3\u97e6\u3001\u7ef4\u7532\u9178\u3001\u767d\u828d\u3001\u8fde\u7fd8\u3001\u9c7c\u8165\u8349\u53ef\u80fd\u5bf9\u5176\u5177\u6709\u6cbb\u7597\u4f5c\u7528\u3002"}

acknowledgements

Entity: BilingualValue

The acknowledgements section text as found in the source document.

 
      {"preferred": "This research was supported by the Minas Gerais State Foundation for Research Support (FAPEMIG/Brazil), by the National Program for Academic Cooperation of the Coordination for the Improvement of Higher Education Personnel (CAPES/Brazil), by the Brazilian National Council for Scientific and Technological Development (CNPq/Brazil) and by the Foundation for Research Support of S\u00e3o Paulo (FAPESP) (n\u00b0 2018/24707-0). The authors are grateful for the scholarships granted.", "original": null}

altmetrics

Entity: Altmetric

If available, Altmetric details relating to the publication.

 
      {"id": "77676422", "score": "34466"}

arxiv_id

Literal: String

arXiv identifier (e.g. ‘arXiv:2102.02477’).

 
      "arXiv:2101.02602"

authors

Array of < Entity: Author >

Ordered list of author names and their affiliations, as they appear in the original publication. The listing can include researcher and organization identifiers, where available.

 
      [{"first_name": "Kristian G.", "last_name": "Andersen", "initials": null, "researcher_id": "ur.0701117322.53", "grid_ids": ["grid.214007.0"], "orcid": ["0000-0002-3325-5785"], "corresponding": true, "raw_affiliations": ["Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA", "Scripps Research Translational Institute, La Jolla, CA, USA"], "affiliations_address": [{"grid_id": "grid.214007.0", "city_id": "5391811", "state_code": "US-CA", "country_code": "US", "raw_affiliation": "Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA"}, {"grid_id": null, "city_id": null, "state_code": null, "country_code": null, "raw_affiliation": "Scripps Research Translational Institute, La Jolla, CA, USA"}]}, {"first_name": "Andrew", "last_name": "Rambaut", "initials": null, "researcher_id": "ur.0633743356.16", "grid_ids": ["grid.4305.2"], "orcid": null, "corresponding": false, "raw_affiliations": ["Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK"], "affiliations_address": [{"grid_id": "grid.4305.2", "city_id": "2650225", "state_code": null, "country_code": "GB", "raw_affiliation": "Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK"}]}, {"first_name": "W. Ian", "last_name": "Lipkin", "initials": null, "researcher_id": "ur.01306555033.15", "grid_ids": ["grid.21729.3f"], "orcid": null, "corresponding": false, "raw_affiliations": ["Center for Infection and Immunity, Mailman School of Public Health of Columbia University, New York, NY, USA"], "affiliations_address": [{"grid_id": "grid.21729.3f", "city_id": "5128581", "state_code": "US-NY", "country_code": "US", "raw_affiliation": "Center for Infection and Immunity, Mailman School of Public Health of Columbia University, New York, NY, USA"}]}, {"first_name": "Edward C.", "last_name": "Holmes", "initials": null, "researcher_id": "ur.012501436222.04", "grid_ids": ["grid.1013.3"], "orcid": null, "corresponding": false, "raw_affiliations": ["Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, Australia"], "affiliations_address": [{"grid_id": "grid.1013.3", "city_id": "2147714", "state_code": "AU-NSW", "country_code": "AU", "raw_affiliation": "Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, Australia"}]}, {"first_name": "Robert F.", "last_name": "Garry", "initials": null, "researcher_id": "ur.01051136257.59", "grid_ids": ["grid.265219.b", "grid.505518.c"], "orcid": null, "corresponding": false, "raw_affiliations": ["Tulane University, School of Medicine, Department of Microbiology and Immunology, New Orleans, LA, USA", "Zalgen Labs, Germantown, MD, USA"], "affiliations_address": [{"grid_id": "grid.265219.b", "city_id": "4335045", "state_code": "US-LA", "country_code": "US", "raw_affiliation": "Tulane University, School of Medicine, Department of Microbiology and Immunology, New Orleans, LA, USA"}, {"grid_id": "grid.505518.c", "city_id": "4356050", "state_code": "US-MD", "country_code": "US", "raw_affiliation": "Zalgen Labs, Germantown, MD, USA"}]}]

book_series_title

Entity: BilingualValue

Title of the book series that a publication belongs to.

 
      {"preferred": "EAI Series on East Asia"}

book_title

Entity: BilingualValue

The title of the book a chapter belongs to (note: this field is available only for chapters).

 
      {"preferred": "China's Economic Modernisation and Structural Changes"}

categories

Entity: VersionedCategories

Versioned categorisations, holding different versions of the category types based on the different revisions of machine learning models. The top-level categories (ie. ‘category_for’) represent the most recent model version available and matches ‘app.dimensions.ai’ as well as the DSL API.

 
      {"bra_v1": {"values": ["Public Health"], "full": [{"id": "4003", "value": "Public Health"}]}, "bra_v2020": {"values": ["Public Health"], "full": [{"id": "4003", "value": "Public Health"}]}, "for_v1": {"first_level": {"codes": ["06", "03", "05"], "full": [{"id": "2206", "code": "06", "name": "Biological Sciences"}, {"id": "2203", "code": "03", "name": "Chemical Sciences"}, {"id": "2205", "code": "05", "name": "Environmental Sciences"}]}, "second_level": {"codes": [], "full": []}}, "hra_v1": null, "hrcs_hc_v1": {"values": ["Cancer", "Respiratory"], "full": [{"id": "911", "value": "Cancer"}, {"id": "896", "value": "Respiratory"}]}, "hrcs_rac_v1": null, "hrcs_hc_v2020": {"values": ["Cancer", "Respiratory"], "full": [{"id": "911", "value": "Cancer"}, {"id": "896", "value": "Respiratory"}]}, "hrcs_rac_v2020": null, "icrp_cso_v1": {"codes": ["3.1", "2.1"], "full": [{"id": "3755", "code": "3.1", "name": "Interventions to Prevent Cancer: Personal Behaviors That Affect Cancer Risk"}, {"id": "3751", "code": "2.1", "name": "Exogenous Factors in the Origin and Cause of Cancer"}]}, "icrp_ct_v1": {"values": ["Lung Cancer", "Laryngeal Cancer", "Pharyngeal Cancer"], "full": [{"id": "3809", "value": "Lung Cancer"}, {"id": "3806", "value": "Laryngeal Cancer"}, {"id": "3822", "value": "Pharyngeal Cancer"}]}, "rcdc_v1": {"values": ["Prevention", "Clinical Research", "Tobacco Smoke and Health", "Health Effects of Indoor Air Pollution", "Tobacco"], "full": [{"id": "558", "value": "Prevention"}, {"id": "507", "value": "Clinical Research"}, {"id": "480", "value": "Tobacco Smoke and Health"}, {"id": "529", "value": "Health Effects of Indoor Air Pollution"}, {"id": "412", "value": "Tobacco"}]}, "icrp_cso_v2020": {"codes": ["3.1", "2.1"], "full": [{"id": "3755", "code": "3.1", "name": "Interventions to Prevent Cancer: Personal Behaviors That Affect Cancer Risk"}, {"id": "3751", "code": "2.1", "name": "Exogenous Factors in the Origin and Cause of Cancer"}]}, "icrp_ct_v2020": {"values": ["Lung Cancer", "Laryngeal Cancer", "Pharyngeal Cancer"], "full": [{"id": "3809", "value": "Lung Cancer"}, {"id": "3806", "value": "Laryngeal Cancer"}, {"id": "3822", "value": "Pharyngeal Cancer"}]}, "sdg_v1": {"codes": ["3"], "full": [{"id": "40003", "code": "3", "name": "Good Health and Well Being"}]}, "uoa_v1": {"codes": ["B07"], "full": [{"id": "30007", "code": "B07", "name": "Earth Systems and Environmental Sciences"}]}}

category_bra

Entity: SimpleCategorization

Broad Research Areas

 
      {"values": ["Clinical Medicine and Science"], "full": [{"id": "4001", "value": "Clinical Medicine and Science"}]}

category_for

Entity: ComplexSystematicCategorization

ANZSRC Fields of Research classification

 
      {"first_level": {"codes": ["10", "08"], "full": [{"id": "2210", "code": "10", "name": "Technology"}, {"id": "2208", "code": "08", "name": "Information and Computing Sciences"}]}, "second_level": {"codes": ["0804", "0801", "0803", "1005"], "full": [{"id": "2777", "code": "0804", "name": "Data Format"}, {"id": "2746", "code": "0801", "name": "Artificial Intelligence and Image Processing"}, {"id": "2766", "code": "0803", "name": "Computer Software"}, {"id": "3001", "code": "1005", "name": "Communications Technologies"}]}}

category_hra

Entity: SimpleCategorization

Health Research Areas

 
      {"values": ["Biomedical"], "full": [{"id": "3900", "value": "Biomedical"}]}

category_hrcs_hc

Entity: SimpleCategorization

HRCS - Health Categories

 
      {"values": ["Cardiovascular", "Metabolic and Endocrine", "Cancer"], "full": [{"id": "894", "value": "Cardiovascular"}, {"id": "906", "value": "Metabolic and Endocrine"}, {"id": "911", "value": "Cancer"}]}

category_hrcs_rac

Entity: SystematicCategorization

HRCS – Research Activity Codes

 
      {"codes": ["4.1", "4.2", "8.4"], "full": [{"id": "10401", "code": "4.1", "name": "Discovery and preclinical testing of markers and technologies"}, {"id": "10402", "code": "4.2", "name": "Evaluation of markers and technologies"}, {"id": "10804", "code": "8.4", "name": "Research design and methodologies"}]}

category_icrp_cso

Entity: SystematicCategorization

ICRP Common Scientific Outline

 
      {"codes": ["4.1", "4.3", "4.2"], "full": [{"id": "3761", "code": "4.1", "name": "Technology Development and/or Marker Discovery"}, {"id": "3763", "code": "4.3", "name": "Technology and/or Marker Testing in a Clinical Setting"}, {"id": "3762", "code": "4.2", "name": "Technology and/or Marker Evaluation With Respect to Fundamental Parameters of Method"}]}

category_icrp_ct

Entity: SimpleCategorization

ICRP Cancer Types

 
      {"values": ["Leukemia / Leukaemia", "Non-Hodgkin's Lymphoma", "Hodgkin's Disease"], "full": [{"id": "3807", "value": "Leukemia / Leukaemia"}, {"id": "3815", "value": "Non-Hodgkin's Lymphoma"}, {"id": "3803", "value": "Hodgkin's Disease"}]}

category_rcdc

Entity: SimpleCategorization

Research, Condition, and Disease Categorization

 
      {"values": ["Foodborne Illness", "Vaccine Related", "Biodefense", "Digestive Diseases", "Immunization", "Biotechnology", "Prevention", "Infectious Diseases", "Emerging Infectious Diseases"], "full": [{"id": "522", "value": "Foodborne Illness"}, {"id": "583", "value": "Vaccine Related"}, {"id": "499", "value": "Biodefense"}, {"id": "344", "value": "Digestive Diseases"}, {"id": "531", "value": "Immunization"}, {"id": "338", "value": "Biotechnology"}, {"id": "558", "value": "Prevention"}, {"id": "533", "value": "Infectious Diseases"}, {"id": "520", "value": "Emerging Infectious Diseases"}]}

category_sdg

Entity: SystematicCategorization

SDG - Sustainable Development Goals

 
      {"codes": ["10", "5", "8"], "full": [{"id": "40010", "code": "10", "name": "Reduced Inequalities"}, {"id": "40005", "code": "5", "name": "Gender Equality"}, {"id": "40008", "code": "8", "name": "Decent Work and Economic Growth"}]}

category_uoa

Entity: SystematicCategorization

Units of Assessment

 
      {"codes": ["A06", "B12", "C14"], "full": [{"id": "30006", "code": "A06", "name": "Agriculture, Veterinary and Food Science"}, {"id": "30012", "code": "B12", "name": "Engineering"}, {"id": "30014", "code": "C14", "name": "Geography and Environmental Studies"}]}

citations

Array of < Entity: Citation >

Citing publications, provides both Dimensions publication ID as well as the year of citation.

 
      [{"id": "pub.1128385667", "year": 2020}, {"id": "pub.1128509866", "year": 2020}, {"id": "pub.1128765783", "year": 2020}, {"id": "pub.1128666354", "year": 2020}, {"id": "pub.1128838393", "year": 2020}, {"id": "pub.1129306616", "year": 2020}, {"id": "pub.1128380008", "year": 2020}]

citations_count

Literal: Integer

Number of citations.

 
      7

clinical_trial_ids

Array of < Literal: String >

List of Dimensions clinical trial IDs mentioned in the full text of the publication.

 
      ["NCT02477800", "NCT02484547"]

concepts

Array of < Entity: Concept >

Concepts describing the main topics of a publication (note: automatically derived from the publication text using machine learning).

 
      [{"concept": "Western cultural products", "relevance": "0.648"}, {"concept": "cultural products", "relevance": "0.598"}, {"concept": "Western culture", "relevance": "0.590"}, {"concept": "ideological tool", "relevance": "0.588"}, {"concept": "Soviet Lithuania", "relevance": "0.570"}, {"concept": "Lithuanian society", "relevance": "0.565"}, {"concept": "foreign trademarks", "relevance": "0.563"}, {"concept": "Soviet society", "relevance": "0.539"}, {"concept": "symbolic expressions", "relevance": "0.537"}, {"concept": "Soviet authorities", "relevance": "0.535"}]

conference

Entity: Conference

Details of the associated conference.

 
      {"name": "2018 Physics Education Research Conference", "location": "Washington, DC"}

copyright_statement

Literal: String

The copyright status as found in the source document.

 
      "\u00a9 The Author(s), under exclusive licence to Springer Nature Limited 2020"

date

Literal: String

The publication date for the version of record of a document, eg “2018-01-01” (note: dates can sometimes be incomplete and include only the month or the year).

 
      "2020-04"

date_imported_gbq

Literal: Timestamp

Timestamp when the publication was last imported into BigQuery. Incremental changes can be determined using this field. Note, however that at certain times all records may be reimported.

 
      "2020-08-04 01:53:36 UTC"

date_inserted

Literal: Timestamp

Date when the record was inserted into Dimensions.

 
      "2020-03-18 19:04:33 UTC"

date_normal

Literal: Date

The publication date for the version of record of a document, normalised for partial dates which do not include a month/day value (ie. ‘2020’ converts to ‘2020-01-01’).

 
      "2021-01-19"

date_online

Literal: String

The publication online date.

 
      "2021-01-19"

date_print

Literal: String

The publication print date.

 
      "2021-01-19"

document_type

Entity: DocumentType

The automated document type classification.

 
      {"classification": "RESEARCH_ARTICLE", "is_citable": "true", "versions": {"v0": {"classification": "RESEARCH_ARTICLE", "is_citable": "true"}}}

doi

Literal: String

Clustering field

Digital object identifier.

 
      "10.1038/s41591-020-0820-9"

editors

Array of < Entity: Editor >

For supported publication types, the associated editors.

 
      [{"first_name": {"preferred": "Stefan"}, "last_name": {"preferred": "Pohlmann"}}, {"first_name": {"preferred": "Gabriele"}, "last_name": {"preferred": "Vierzigmann"}}, {"first_name": {"preferred": "Thomas"}, "last_name": {"preferred": "Doy\u00e9"}}]

eisbn

Literal: String

For supported publication types, the International Standard Book Number (ISBN) of an electronic edition.

 
      "978-1-351-65285-8"

funder_orgs

Array of < Literal: String >

The GRID organisations funding this publication.

 
      ["grid.452896.4", "grid.280128.1", "grid.413452.5", "grid.52788.30", "grid.419681.3"]

funding_details

Array of < Entity: Funding >

List of details regarding funding associated with the publication.

 
      [{"grant_id": null, "grid_id": "grid.52788.30"}, {"grant_id": "grant.6809668", "grid_id": "grid.413452.5"}, {"grant_id": "grant.7159458", "grid_id": "grid.52788.30"}, {"grant_id": "grant.2691343", "grid_id": "grid.280128.1"}, {"grant_id": "grant.6814152", "grid_id": "grid.452896.4"}, {"grant_id": "grant.8472835", "grid_id": "grid.419681.3"}, {"grant_id": "grant.7439078", "grid_id": "grid.419681.3"}, {"grant_id": "grant.7072708", "grid_id": "grid.280128.1"}]

funding_section

Entity: BilingualValue

The funding section text as found in the source document.

 
      {"preferred": "ASA is funded from NIH Grant R37GM057260-20, the Stowers Institute for Medical Research and the Howard Hughes Medical Institute. EMD is funded from a Pilot Project award under NIH Grant GM121327 and The University of Kentucky. The 2016 CdeC Workshop for Developmental Biology was funded by a grant from the Center for Teaching, Learning, & Outreach (CTLO).", "original": null}

id

Literal: String

Clustering field

Dimensions publication ID.

 
      "pub.1125686004"

isbn

Literal: String

For supported publication types, the International Standard Book Number (ISBN).

 
      "978-0-7918-5833-2"

issue

Literal: String

The issue number of a publication.

 
      "4"

journal

Entity: Journal

The journal a publication belongs to.

 
      {"id": "jour.1113716", "title": "Nature Medicine", "issn": "1078-8956", "eissn": "1546-170X"}

journal_lists

Array of < Literal: String >

Independent grouping of journals outside of Dimensions, e.g. ‘ERA 2015’ or ‘Norwegian register level 1’.

 
      ["ERA 2018", "ERA 2015", "Nature Index journals", "Norwegian register level 2", "VABB-SHW", "PubMed"]

metrics

Entity: Metrics

If available, metrics relating to the publication.

 
      {"times_cited": 59, "recent_citations": 49, "field_citation_ratio": 18.69, "relative_citation_ratio": 5.63}

open_access_categories_v2

Array of < Literal: String >

Open Access categories of a publication (latest version).

 
      ["oa_all", "hybrid"]

pages

Literal: String

The pages of the publication, as they would appear in a citation record.

 
      "450-452"

parent_id

Literal: String

For supported publication types, the Dimensions Publication ID of a record considered to be the parent item of the publication (ie. parent book of a book chapter).

 
      "pub.1139252542"

patent_ids

Array of < Literal: String >

Dimensions patent IDs of the patents citing this publication.

 
      ["US-10005847-B2", "US-9975965-B2", "US-10087236-B2", "US-10023892-B2", "US-9981030-B2", "EP-3149161-A4", "US-9982041-B2", "US-10086054-B2", "EP-3154582-A4"]

pmcid

Literal: String

PubMed Central ID.

 
      "5258742"

pmid

Literal: String

PubMed ID.

 
      "28174697"

proceedings_title

Entity: BilingualValue

Title of the conference proceedings volume associated to a publication.

 
      {"preferred": "70th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion"}

publisher

Entity: Publisher

The publisher associated with the publication.

 
      {"id": "pblshr.1000297", "name": "Springer Nature"}

pubmed

Entity: PubMedDetails

PubMed related details of a publication (MeSH terms, publication types etc.).

reference_ids

Array of < Literal: String >

Dimensions publication ID for publications within the references list, i.e. outgoing citations.

 
      ["pub.1003745056", "pub.1047105628", "pub.1124432156", "pub.1124849058", "pub.1101319525", "pub.1125089278", "pub.1125023869", "pub.1124952342", "pub.1124545162", "pub.1068792420", "pub.1042718596", "pub.1071109188", "pub.1101082061", "pub.1125019094", "pub.1124545567", "pub.1123164359", "pub.1034803318", "pub.1083833413", "pub.1042043208", "pub.1124290823", "pub.1125032130", "pub.1122111594", "pub.1100421004", "pub.1038948366", "pub.1125032079", "pub.1124815253", "pub.1009620758", "pub.1110510319", "pub.1101707417"]

repository_dois

Array of < Literal: String >

Identified DOIs based on DOI prefixes from Figshare and DataCite.

 
      ["10.7916/d8-ap9q-gb94", "10.7916/d8-8z2a-ae81", "10.7916/d8-xve8-cp65", "10.7916/d8-gc9d-na95", "10.7916/d8-qht81b06", "10.7916/d8-2wvg-3s49", "10.7916/d8tw8g-df80", "10.7916/d8-se8h-zf85", "10.7916/d8-4fh7-zm92", "10.7916/d8q1zt-av34", "10.7916/d8-mc251950"]

research_org_cities

Array of < Literal: Integer >

City of the organisations authors are affiliated to, expressed as GeoNames ID and name.

 
      [2147714, 5391811, 5128581, 4335045, 5363943, 2650225, 4356050]

research_org_city_names

Array of < Literal: String >

City names of the organisations authors are affiliated to.

 
      ["La Jolla", "Germantown", "New Orleans", "New York", "San Diego", "Edinburgh", "Sydney"]

research_org_countries

Array of < Literal: String >

Country of the organisations authors are affiliated to, identified using GeoNames codes.

 
      ["US", "AU", "GB"]

research_org_country_names

Array of < Literal: String >

Country names of the organisations that authors are affiliated to, as a string.

 
      ["Australia", "United Kingdom", "United States"]

research_org_state_codes

Array of < Literal: String >

Country specific state codes of the organisations that authors are affiliated to, expressed as GeoNames codes (ISO‌-3166-2).

 
      ["US-LA", "US-MD", "US-NY", "US-CA", "AU-NSW"]

research_org_state_names

Array of < Literal: String >

State names of the organisations that authors are affiliated to, as a string.

 
      ["Maryland", "California", "Louisiana", "New South Wales", "New York"]

research_orgs

Array of < Literal: String >

GRID organisations associated to the publication. Identifiers are automatically extracted from author affiliations text, so they can be missing in some cases.

 
      ["grid.214007.0", "grid.265219.b", "grid.1013.3", "grid.505518.c", "grid.21729.3f", "grid.4305.2"]

researcher_ids

Array of < Literal: String >

Dimensions Researcher IDs matched to the publication authors list.

 
      ["ur.01051136257.59", "ur.01306555033.15", "ur.0633743356.16", "ur.0701117322.53", "ur.012501436222.04"]

resulting_publication_doi

Literal: String

For preprints, the DOIs of the resulting full publications.

 
      "10.1038/s41586-018-0825-4"

source_id

Literal: String

The Dimensions source title ID for the publication.

 
      "jour.1292469"

subtitles

Array of < Literal: String >

Subtitles of a publication (when available).

 
      ["Court of Justice of the European Union (Grand Chamber) Grupo Norte Facility SA v. Angel Manuel Moreira G\u00f3mez, Decision of 5 June 2018, Case C-574/16"]

supporting_grant_ids

Array of < Literal: String >

Grants supporting the publication, list of Dimensions Grant IDs.

 
      ["grant.6814152", "grant.7159458", "grant.6809668", "grant.8472835", "grant.2691343", "grant.7072708", "grant.7439078"]

title

Entity: BilingualValue

Title of a publication.

 
      {"preferred": "The proximal origin of SARS-CoV-2"}

type

Literal: String

Clustering field

Publication type (one of: article, chapter, proceeding, monograph, preprint or book).

 
      "article"

volume

Literal: String

Publication volume.

 
      "26"

year

Literal: Integer

Partitioning field

The year of publication for the version of record (note: when the date field is available, this is equal to the year part of the full date).

 
      2020

Auxiliary Entities

AffiliationAddress

Field

Type

Description

city_id

Literal: Integer

City identified in the affiliation, as GeoName IDs.

country_code

Literal: String

Country/territory identified in the affiliation, as ISO-3166 alpha-2 codes.

grid_id

Literal: String

GRID organisation identifier assigned to the affiliation.

raw_affiliation

Literal: String

Raw affiliation address as seen in the source document.

state_code

Literal: String

State/region identified in the affiliation, as ISO 3166-2 codes.

Altmetric

Field

Type

Description

id

Literal: String

Altmetrics record identifier

score

Literal: Integer

Altmetric Attention Score

Author

Field

Type

Description

affiliations_address

Array of < Entity: AffiliationAddress >

Listing of processed affiliation addresses.

corresponding

Literal: Boolean

Indicator that the author is considered a corresponding author for the publication.

first_name

Literal: String

grid_ids

Array of < Literal: String >

Based on the affiliation addresses, associated GRID organisation identifiers for the author.

initials

Literal: String

last_name

Literal: String

orcid

Array of < Literal: String >

If present, the ORCID identifier for the author.

raw_affiliations

Array of < Literal: String >

Listing of raw affiliations, as seen in the source document.

researcher_id

Literal: String

The determined Dimensions Researcher ID for the author.

BilingualValue

Field

Type

Description

original

Literal: String

preferred

Literal: String

Citation

Field

Type

Description

id

Literal: String

Dimensions publication identifier of the citing publication.

year

Literal: Integer

Citing publications year of publication.

ComplexSystematicCategorization

Field

Type

Description

first_level

Entity: SystematicCategoryLevel

second_level

Entity: SystematicCategoryLevel

Concept

Field

Type

Description

concept

Literal: String

relevance

Literal: Float

Conference

Field

Type

Description

location

Literal: String

name

Literal: String

DocumentType

Field

Type

Description

classification

Literal: String

The automated document type classification, evaluation release.

is_citable

Literal: Boolean

The automated citable document flag, evaluation release.

Editor

Field

Type

Description

first_name

Entity: BilingualValue

last_name

Entity: BilingualValue

Funding

Field

Type

Description

grant_id

Literal: String

Dimensions grant identifier linked to funding the publication.

grid_id

Literal: String

Dimensions organisation identifier (GRID) linked to funding the publication.

Journal

Field

Type

Description

eissn

Literal: String

Electronic International Standard Serial Number of the publication’s journal.

id

Literal: String

Dimensions source title identifier for the journal associated with the publication.

issn

Literal: String

International Standard Serial Number of the publication’s journal.

title

Literal: String

Title for the journal associated with the publication.

MedicalSubjectHeadings

Field

Type

Description

headings

Array of < Literal: String >

The MeSH headings if known, does not include the subheadings.

terms

Array of < Literal: String >

The MeSH terms if known, including subheadings.

ui

Array of < Literal: String >

The MeSH unique ids if known, including unique ids of subheadings.

Metrics

Field

Type

Description

field_citation_ratio

Literal: Float

Relative citation performance of article when compared to similarly aged articles in its area of research.

recent_citations

Literal: Integer

Number of citations received in the last two years. Does not support emptiness filters.

relative_citation_ratio

Literal: Float

Relative citation performance of an article when compared to others in its area of research.

times_cited

Literal: Integer

Number of citations.

PubMedDetails

Field

Type

Description

mesh

Entity: MedicalSubjectHeadings

PubMed related MeSH terms, headings and unique ids, if known.

publication_types

Array of < Literal: String >

PubMed publication types, if known.

Publisher

Field

Type

Description

id

Literal: String

name

Literal: String

SimpleCategorization

Field

Type

Description

full

Array of < Entity: SimpleCategory >

values

Array of < Literal: String >

SimpleCategory

Field

Type

Description

id

Literal: String

value

Literal: String

SystematicCategorization

Field

Type

Description

codes

Array of < Literal: String >

full

Array of < Entity: SystematicCategory >

SystematicCategory

Field

Type

Description

code

Literal: String

id

Literal: String

name

Literal: String

SystematicCategoryLevel

Field

Type

Description

codes

Array of < Literal: String >

full

Array of < Entity: SystematicCategory >

VersionedCategories

Versioned categories represent specific revisions of machine learning models used in determining which categories apply to each item within a data source. If you require to always utilise the most recent version of a category, that is, the same version that is available from the Dimensions website or the DSL API, then using the top level categories (ie. ‘category_for’, ‘category_bra’) will provide categories which are always in alignment.

Field

Type

Description

bra_v2020

Entity: SimpleCategorization

for_2020_v2022

Entity: ComplexSystematicCategorization

hra_v1

Entity: SimpleCategorization

hrcs_hc_v2020

Entity: SimpleCategorization

hrcs_rac_v2020

Entity: SystematicCategorization

icrp_cso_v2020

Entity: SystematicCategorization

icrp_ct_v2020

Entity: SimpleCategorization

rcdc_v2023

Entity: SimpleCategorization

sdg_v2021

Entity: SystematicCategorization

uoa_v1

Entity: SystematicCategorization

uoa_v2023

Entity: SystematicCategorization

deprecated bra_v1

Entity: SimpleCategorization

Deprecated in favor of: bra_v2020

deprecated for_v1

Entity: ComplexSystematicCategorization

Deprecated in favor of: for_2020_v2022

deprecated hrcs_hc_v1

Entity: SimpleCategorization

Deprecated in favor of: hrcs_hc_v2020

deprecated hrcs_rac_v1

Entity: SystematicCategorization

Deprecated in favor of: hrcs_rac_v2020

deprecated icrp_cso_v1

Entity: SystematicCategorization

Deprecated in favor of: icrp_cso_v2020

deprecated icrp_ct_v1

Entity: SimpleCategorization

Deprecated in favor of: icrp_ct_v2020

deprecated rcdc_v1

Entity: SimpleCategorization

Deprecated in favor of: category_rcdc

deprecated sdg_v1

Entity: SystematicCategorization

Deprecated in favor of: sdg_v2021

Publications Deprecations

This section lists fields that have been deprecated and should no longer be used within queries. In time, deprecated fields will be removed from the data source’s corresponding schema in BigQuery.

Deprecated Fields

Field

Type

Description

mesh_headings

Array of < Literal: String >

Deprecated in favor of: pubmed.mesh.headings

mesh_terms

Array of < Literal: String >

Deprecated in favor of: pubmed.mesh.terms

open_access_categories

Array of < Literal: String >

Deprecated in favor of: open_access_categories_v2