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PubMed total records by publication year
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:09.000ZYearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781. These totals may increase over time for a particular year as new citations are added. For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.
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MEDLINE/PubMed Citations
datadiscovery.nlm.nih.gov | Last Updated 2023-08-09T18:59:54.000ZPubMed is a free resource supporting the search and retrieval of biomedical and life sciences literature with the aim of improving health–both globally and personally. The PubMed database contains citations and abstracts of biomedical literature. It does not include full text journal articles; however, links to the full text are often present when available from other sources, such as the publisher's website or PubMed Central (PMC). See the PubMed User Guide for more information. https://pubmed.ncbi.nlm.nih.gov/help/
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Carcinogenic Potency Database (CPDB)
datadiscovery.nlm.nih.gov | Last Updated 2024-06-20T14:09:34.000ZThe CPDB is a single standardized resource of the results of 45 years of chronic, long-term carcinogenesis bioassays. The experiments vary widely in design, histopathological examination and nomenclature, and in the published authors’ choices of what information to publish in their papers. Data are included from 6153 experiments reported in the general literature and in the in Technical Reports of the National Cancer Institute/National Toxicology Program (NCI/NTP). Information is given in the CPDB on strain, sex, route of compound administration, target organ, histopathology, author’s opinion about carcinogenicity, and reference to the published paper, as well as quantitative data on statistical significance, tumor incidence, dose-response curve shape, length of experiment, duration of dosing, and dose-rate. The files on this Web site for the Excel format include (A) documentation of methods, field descriptions, and linking instructions; (B) Excel files; and (C) ancillary files of appendices. NOTE: This dataset is no-longer updated with new content.
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Medical Subject Headings (MeSH)
datadiscovery.nlm.nih.gov | Last Updated 2023-06-30T20:20:41.000ZMedical Subject Headings (MeSH) is a hierarchically-organized terminology for indexing and cataloging of biomedical information. It is used for the indexing of PubMed and other NLM databases. Please see the Terms and Conditions for more information regarding the use and re-use of MeSH. NLM produces Medical Subject Headings XML, ASCII, MARC 21 and RDF formats. Updates to the data files are made according to the following schedule: MeSH XML MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday) MeSH ASCII MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday) MeSH MARC21 All files posted monthly MeSH RDF All files posted daily (Monday - Friday)
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PubMed
datadiscovery.nlm.nih.gov | Last Updated 2023-08-09T19:00:10.000ZPubMed comprises more than 26 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
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Value Set Authority Center
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:10.000ZThe VSAC is a repository and authoring tool for public value sets created by external programs. Value sets are lists of codes and corresponding terms, from NLM-hosted standard clinical vocabularies (such as SNOMED CT®, RxNorm, LOINC® and others), that define clinical concepts to support effective and interoperable health information exchange. The VSAC does not create value set content. The VSAC also provides downloadable access to all official versions of value sets specified by the Centers for Medicare & Medicaid Services (CMS) electronic Clinical Quality Measures (eCQMs). For information on CMS eCQMs, visit the eCQI Resource Center. The VSAC is provided by the National Library of Medicine (NLM), in collaboration with the Office of the National Coordinator for Health Information Technology (ONC) and CMS.
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Unified Medical Language System (UMLS)
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZThe UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records.
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Multiple Sequence Alignment (MSA) Viewer
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZAn interactive Web application that enables users to visualize multiple alignments created by database search results or other software applications. The MSA Viewer allows users to upload an alignment and set a master sequence and to explore the data using features such as zooming and changing of coloration.