This dataset contains NLM's database of citations and abstracts in the fields of medicine, nursing, dentistry, veterinary medicine, health care systems, and preclinical sciences.

Malaria Journal Impact Factor 2024-2025 - ResearchHelpDesk - Aims and scope Malaria Journal is aimed at the scientific community interested in malaria in its broadest sense. It is the only journal that publishes exclusively articles on malaria and, as such, it aims to bring together knowledge from the different specialities involved in this very broad discipline, from the bench to the bedside and to the field. Open access All articles published by Malaria Journal are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found here. As authors of articles published in Malaria Journal you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the BMC license agreement. For those of you who are US government employees or are prevented from being copyright holders for similar reasons, BMC can accommodate non-standard copyright lines. Please contact us if further information is needed. Article-processing charges Open access publishing is not without costs. Malaria Journal therefore levies an article-processing charge of £1790.00/$2490.00/€2090.00 for each article accepted for publication, plus VAT or local taxes where applicable. If the corresponding author's institution participates in our open access membership program, some or all of the publication cost may be covered (more details available on the membership page). We routinely waive charges for authors from low-income countries. For other countries, article-processing charge waivers or discounts are granted on a case-by-case basis to authors with insufficient funds. Authors can request a waiver or discount during the submission process. For further details, see our article-processing charge page. Visit Springer Nature’s open access funding & support services for information about research funders and institutions that provide funding for APCs. Springer Nature offers agreements that enable institutions to cover open access publishing costs. Learn more about our open access agreements to check your eligibility and discover whether this journal is included. For more information on APCs please see our Journal Pricing FAQs Indexing services All articles published in Malaria Journal are included in: CABI CAS Citebase Current contents DOAJ Embase Global Health MEDLINE OAIster PubMed PubMed Central Science Citation Index Science Citation Index Expanded SCImago Scopus SOCOLAR Zetoc Zoological Record

This file contains a list of journals used to assess publication productivity of the top 10 countries across medical specialties. For the 10 medical specialties, the journal category of the 2020 Scientific Journal Rankings (SJR) was used. These journals are listed in both and PubMed. Three types of journal lists are included: a) ALL dataset, b) 30H dataset, and c) 30P dataset. For the 10 medical specialties, the ALL dataset contains all journals, the 30H dataset contains 30 journals with the highest h-index scores, and the 30P dataset contains 30 journals with the highest number of published articles. For these journals, the actual bibliographic records could be downloaded from the NIH website (http://nlm.nih.gov/databases/download/pubmed_medline.html).

Journal of Ophthalmology Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Ophthalmology is a peer-reviewed, Open Access journal that publishes original research, review, and clinical studies related to the anatomy, physiology and diseases of the eye. Submissions should focus on focusing on new diagnostic and surgical techniques, instrument and therapy updates, as well as clinical trials and research findings. Journal of Ophthalmology is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. The most recent Impact Factor for Journal of Ophthalmology is 1.580 according to the 2018 Journal Citation Reports released by Clarivate Analytics in 2019. The journal’s most recent CiteScore is 1.78 according to the CiteScore 2018 metrics released by Scopus. Journal of Ophthalmology is included in many leading abstracting and indexing databases. Academic OneFile Academic Search Alumni Edition Academic Search Complete Airiti Library Biological Sciences Chemical Abstracts Service (CAS) CINAHL Plus with Full Text CNKI Scholar Directory of Open Access Journals (DOAJ) EBSCO Discovery Service EBSCOhost Connection EBSCOhost Research Databases Expanded Academic ASAP Expanded Academic Index Google Scholar Health and Wellness Resource Center Health Reference Center Academic HINARI Access to Research in Health Programme InfoTrac Custom journals J-Gate Portal Journal Citation Reports - Science Edition Open Access Journals Integrated Service System Project (GoOA) Primo Central Index PubMed PubMed Central SafetyLit Science Citation Index Expanded Scopus The Summon Service WorldCat Discovery Services

Unlock valuable biomedical knowledge with our comprehensive PubMed Dataset, designed for researchers, analysts, and healthcare professionals to track medical advancements, explore drug discoveries, and analyze scientific literature.

Dataset Features

Scientific Articles & Abstracts: Access structured data from PubMed, including article titles, abstracts, authors, publication dates, and journal sources. Medical Research & Clinical Studies: Retrieve data on clinical trials, drug research, disease studies, and healthcare innovations. Keywords & MeSH Terms: Extract key medical subject headings (MeSH) and keywords to categorize and analyze research topics. Publication & Citation Data: Track citation counts, journal impact factors, and author affiliations for academic and industry research.

Customizable Subsets for Specific Needs Our PubMed Dataset is fully customizable, allowing you to filter data based on publication date, research category, keywords, or specific journals. Whether you need broad coverage for medical research or focused data for pharmaceutical analysis, we tailor the dataset to your needs.

Popular Use Cases

Pharmaceutical Research & Drug Development: Analyze clinical trial data, drug efficacy studies, and emerging treatments. Medical & Healthcare Intelligence: Track disease outbreaks, healthcare trends, and advancements in medical technology. AI & Machine Learning Applications: Use structured biomedical data to train AI models for predictive analytics, medical diagnosis, and literature summarization. Academic & Scientific Research: Access a vast collection of peer-reviewed studies for literature reviews, meta-analyses, and academic publishing. Regulatory & Compliance Monitoring: Stay updated on medical regulations, FDA approvals, and healthcare policy changes.

Whether you're conducting medical research, analyzing healthcare trends, or developing AI-driven solutions, our PubMed Dataset provides the structured data you need. Get started today and customize your dataset to fit your research objectives.

PubMed dataset formed the basis for all of the analyses reported in the manuscript.

This dataset was collected from the PubMed portal to MEDLINE and other repositories of biomedical research (https://www.ncbi.nlm.nih.gov/pubmed/). Analysis of the dataset led to the paper "Effects of research complexity and competition on the incidence and growth of coauthorship in biomedicine", published in PLOS One (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0173444). The raw data were pre-processed using the script "clean.r" in the project directory on GitHub (https://github.com/corybrunson/coauthor) to obtain the file presented here.

The dataset is formatted as a data table (https://cran.r-project.org/web/packages/data.table/index.html), a class of data frame in R, and saved as a .RData file, which can be loaded into an R session via load("path/to/dataset/pmDat.RData"). The fields are as follows:

pmid - the unique publication identifier (PMID) used by PubMed

jid - the unique journal identifier used by PubMed

issn - the (print) ISSN of the journal

ym - the month and year of publication

nau - the number of authors credited by the publication (up to any limits imposed by PubMed, and counting each author collective as a single author)

cau - whether any corporate author was credited

rev - whether the publication was tagged as a review

trial - whether the publication was tagged as a clinical trial

npmt - the number of MeSH terms assigned to the publication that were flagged as "major" topics

nmh - the number of top-level MeSH headings assigned to the publication

supp - whether the publication was tagged as having received financial support

ng - the number of grants acknowledged by the publication

co - the country in which the journal was published

Note that the field values for any publication can be validated by searching for the PMID in PubMed.

Indian journal of public health Impact Factor 2024-2025 - ResearchHelpDesk - Indian Journal of Public Health is a peer-reviewed international journal published Quarterly by the Indian Public Health Association. It is indexed/abstracted by the major international indexing systems like Index Medicus/MEDLINE, SCOPUS, PUBMED, etc. The journal allows free access (Open Access) to its contents and permits authors to self-archive the final accepted version of the articles. The journal’s full text is available online at www.ijph.in. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TdNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Emerging Sources Citation Index, Indian Science Abstracts, IndMed, MEDLINE/Index Medicus, Scimago Journal Ranking, SCOPUS, Web of Science

Dataset for Journal recommendation, includes title, abstract, keywords, and journal.

We extracted the journals and more information of:

Jiasheng Sheng. (2022). PubMed-OA-Extraction-dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6330817.

Dataset Components:

data_pubmed_all: This dataset encompasses all articles, each containing the following columns: 'pubmed_id', 'title', 'keywords', 'journal', 'abstract', 'conclusions', 'methods', 'results', 'copyrights', 'doi', 'publication_date', 'authors', 'AKE_pubmed_id', 'AKE_pubmed_title', 'AKE_abstract', 'AKE_keywords', 'File_Name'.

data_pubmed: To focus on recent and relevant publications, we have filtered this dataset to include articles published within the last five years, from January 1, 2018, to December 13, 2022—the latest date in the dataset. Additionally, we have exclusively retained journals with more than 200 published articles, resulting in 262,870 articles from 469 different journals.

data_pubmed_train, data_pubmed_val, and data_pubmed_test: For machine learning and model development purposes, we have partitioned the 'data_pubmed' dataset into three subsets—training, validation, and test—using a random 60/20/20 split ratio. Notably, this division was performed on a per-journal basis, ensuring that each journal's articles are proportionally represented in the training (60%), validation (20%), and test (20%) sets. The resulting partitions consist of 157,540 articles in the training set, 52,571 articles in the validation set, and 52,759 articles in the test set.

Public Health Reports Impact Factor 2024-2025 - ResearchHelpDesk - Public Health Reports is the official journal of the Office of the U.S. Surgeon General and the U.S. Public Health Service and has been published since 1878. It is published bimonthly, plus supplement issues, through an official agreement with the Association of Schools and Programs of Public Health. The journal is peer-reviewed and publishes original research, reviews, and commentaries in the areas of public health practice and methodology, public health law, and teaching at schools and programs of public health. Issues contain regular commentaries by the U.S. Surgeon General and executives of the U.S. Department of Health and Human Services and the Office of the Assistant Secretary of Health. The journal focuses upon such topics as tobacco control, teenage violence, occupational disease and injury, immunization, drug policy, lead screening, health disparities, and many other key and emerging public health issues. In addition to the six regular issues, PHR produces supplemental issues approximately 2-5 times per year which focus on specific topics that are of particular interest to our readership. The journal's contributors are on the front line of public health and they present their work in a readable and accessible format. Abstract & indexing Clarivate Analytics: Current Contents - Clinical Medicine Clarivate Analytics: Science Citation Index (SCI) Clarivate Analytics: Social Sciences Citation Index (SSCI) Clarivate Analytics: Science Citation Index Expanded (SCIE) CABI: Global Health Clarivate Analytics: Current Contents - Social & Behavioral Sciences EBSCO EMBASE/Excerpta Medica Ovid JSTOR PubMed Central (PMC) PAIS International - ProQuest ProQuest Statistical Reference Index PubMed: MEDLINE Scopus

Inspied by this post on biostar: http://www.biostars.org/post/show/54473/calculating-time-from-submission-to-publication-degree-of-burden-in-submitting-a-paper/ initialy asked by Ryan Delahanty

the script 'pubmed.sh" downloads the the journals from http://www.ncbi.nlm.nih.gov/books/NBK3827/table/pubmedhelp.pubmedhelptable45/ , the 'eignefactors' from http://www.eigenfactor.org for each journal , It scans pubmed (starting from year=2000) and get the difference between the date(submitted) and the date(accepted). The code for the java program used to download pubmed is available here: https://github.com/lindenb/jsandbox/blob/master/src/sandbox/PubmedDump.java

Note: pubmed contains some errors: e.g. submitted > accepted (http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=20591334&retmode=xml) or some dates in the future: ( http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=12921703&retmode=xml )

Indian Journal of Community Medicine Impact Factor 2024-2025 - ResearchHelpDesk - The Indian Journal of Community Medicine (IJCM), is the official organ & the only official journal of the Indian Association of Preventive and Social Medicine (IAPSM). It is a peer-reviewed journal which is published Quarterly. The journal publishes research articles, focusing on biostatistics, epidemiology, family health care, public health administration, national health problems, medical anthropology, health care delivery and social medicine, invited annotations and comments, invited papers on recent advances, clinical and epidemiological diagnosis and management; editorial correspondence and book reviews. Abstracting and Indexing Information The journal is registered with the following abstracting partners: CNKI (China National Knowledge Infrastructure), Baidu Scholar, EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Infotrieve, Hinari, ProQuest, National Science Library, TdNet, Wanfang Data The journal is indexed with, or included in, the following: Emerging Sources Citation Index, DOAJ, Indian Science Abstracts,MedInd, PubMed Central, IndMed, Scimago Journal Ranking, Web of Science, SCOPUS.

Diversity - PubMed dataset Contact: Apratim Mishra (Oct, 2024) This dataset presents article-level (pmid) and author-level (auid) diversity data for PubMed articles. The chosen selection includes articles retrieved from Authority 2018 [1], 907 024 papers, and 1 316 838 authors, and is an expanded dataset of V1. The sample of articles consists of the top 40 journals in the dataset, limited to 2-12 authors published between 1991 – 2014, which are article type "journal type" written in English. Files are 'gzip' compressed and separated by tab space, and V3 includes the correct author count for the included papers (pmids) and updated results with no NaNs. ################################################ File1: auids_plos_3.csv.gz (Important columns defined, 5 in total) • AUID: a unique ID for each author • Genni: gender prediction • Ethnea: ethnicity prediction ################################################# File2: pmids_plos_3.csv.gz (Important columns defined) • pmid: unique paper • auid: all unique auids (author-name unique identification) • year: Year of paper publication • no_authors: Author count • journal: Journal name • years: first year of publication for every author • Country-temporal: Country of affiliation for every author • h_index: Journal h-index • TimeNovelty: Paper Time novelty [2] • nih_funded: Binary variable indicating funding for any author • prior_cit_mean: Mean of all authors’ prior citation rate • Insti_impact: All unique institutions’ citation rate • mesh_vals: Top MeSH values for every author of that paper • relative_citation_ratio: RCR The ‘Readme’ includes a description for all columns. [1] Torvik, Vetle; Smalheiser, Neil (2021): Author-ity 2018 - PubMed author name disambiguated dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2273402_V1 [2] Mishra, Shubhanshu; Torvik, Vetle I. (2018): Conceptual novelty scores for PubMed articles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5060298_V1

BMC public health Impact Factor 2024-2025 - ResearchHelpDesk - BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community. Indexing Details CABI CAS Current contents Citebase DOAJ EmCare Medscape SOCOLAR Embase Food Science and Technology Abstracts Global Health OAIster MEDLINE PubMed Central PubMed Scopus Science Citation Index Expanded SCImago ​Zetoc

This dataset captures ‘Hype’ and 'Diversity', including article-level (pmid) and author-level (auid) data within biomedical abstracts sourced from PubMed. The selection chosen is ‘journal articles’ written in English, published between 1991 and 2014, totaling 421,580 (merged_df). The classification of hype relies on the presence of specific candidate ‘hype words’ and their abstract location. Therefore, each article (PMID) might have multiple instances in the dataset due to the presence of multiple hype words in different abstract sentences. Diversity is classified for ethnicity, gender, academic age, and topical expertise for authors based on the Rao-Sterling Diversity index. File1: merged_auids.csv (Important columns defined) • AUID: a unique ID for each author • Genni: gender prediction • Ethnea: ethnicity prediction ################################################# File2: merged_df.csv (Important columns defined) - pmid: unique paper - auid: all unique auids (author-name unique identification) - year: Year of paper publication - no_authors: Author count - journal: Journal name - years: first year of publication for every author - Country-temporal: Country of affiliation for every author - h_index: Journal h-index - TimeNovelty: Paper Time novelty - nih_funded: Binary variable indicating funding for any author - prior_cites_mean: Mean of all authors’ prior citation rate - insti_impact: All unique institutions’ citation rate - mesh_vals: Top MeSH values for every author of that paper - hype_word: Candidate hype word, such as ‘novel' - hype_value: Propensity of hype based on the hype word, the sentence, and the abstract location - hype_percentile: Abstract relative position of hype word - relative_citation_ratio: RCR

About

PubMed Central (PMC) is the U.S. National Institutes of Health (NIH) free digital archive of biomedical and life sciences journal literature.

Re-use/openness

Mixed. Some all rights reserved, some open access, some public domain. See copyright notice for more information.

Downloading

There is a 960 mb torrent file of the open access subset which was made available on 2008-09-08.

PubMed Central also has an FTP site ftp://ftp.ncbi.nlm.nih.gov/pub/pmc, containing the entire Open Access subset. Available as individual journal archives or in aggregated sets (as linked below).

After changing the language of its articles from Korean or English to English only in 2012 [1], Archives of Plastic Surgery (APS) became an international journal, as evidenced by various metrics [2] and its inclusion in the Web of Science Core Collection in 2012 and Scopus in 2013. From 2018 to July 2020, authors from 45 countries published in APS (Suppl. 1). The 289 most recent articles from 2018 to present have been cited by researchers from 44 countries in articles in the Web of Science (Suppl. 2). These results originated from the APS editors’ laborious work on editing and publishing; furthermore, the content itself is top-tier in the field of plastic surgery. In this Editorial, I would like to explain the influence of two international public platforms that helped APS reach the international level through exposure to worldwide researchers and surgeons: PubMed Central (PMC) and Crossref. Of course, the influence of Google or Google Scholar on the exposure of APS to global researchers may have been greater than that of PubMed Central or Crossref. However, PubMed Central and Crossref are also powerful platforms for physicians and researchers.

American Journal of Public Health Impact Factor 2024-2025 - ResearchHelpDesk - The American Journal of Public Health is a monthly peer-reviewed public health journal published by the American Public Health Association covering health policy and public health. The journal was established in 1911 and its stated mission is to advance public health research, policy, practice, and education. The journal occasionally publishes themed supplements. The editor-in-chief is Alfredo Morabia. The journal has been criticized for extending its open access embargo from 2 to 10 years as of June 1, 2013. Abstracting and indexing Biological Abstracts BIOSIS Previews Chemical Abstracts Service CINAHL Current Contents/Clinical Medicine Current Contents/Life Sciences Current Contents/Social & Behavioral Sciences Embase/Excerpta Medica Food Science and Technology Abstracts Index Medicus/MEDLINE/PubMed Psychological Abstracts/PsycINFO Science Citation Index Scopus Social Sciences Citation Index

Update — December 7, 2014. – Evidence-based medicine (EBM) is not working for many reasons, for example: 1. Incorrect in their foundations (paradox): hierarchical levels of evidence are supported by opinions (i.e., lowest strength of evidence according to EBM) instead of real data collected from different types of study designs (i.e., evidence). http://dx.doi.org/10.6084/m9.figshare.1122534 2. The effect of criminal practices by pharmaceutical companies is only possible because of the complicity of others: healthcare systems, professional associations, governmental and academic institutions. Pharmaceutical companies also corrupt at the personal level, politicians and political parties are on their payroll, medical professionals seduced by different types of gifts in exchange of prescriptions (i.e., bribery) which very likely results in patients not receiving the proper treatment for their disease, many times there is no such thing: healthy persons not needing pharmacological treatments of any kind are constantly misdiagnosed and treated with unnecessary drugs. Some medical professionals are converted in K.O.L. which is only a puppet appearing on stage to spread lies to their peers, a person supposedly trained to improve the well-being of others, now deceits on behalf of pharmaceutical companies. Probably the saddest thing is that many honest doctors are being misled by these lies created by the rules of pharmaceutical marketing instead of scientific, medical, and ethical principles. Interpretation of EBM in this context was not anticipated by their creators. “The main reason we take so many drugs is that drug companies don’t sell drugs, they sell lies about drugs.” ―Peter C. Gøtzsche “doctors and their organisations should recognise that it is unethical to receive money that has been earned in part through crimes that have harmed those people whose interests doctors are expected to take care of. Many crimes would be impossible to carry out if doctors weren’t willing to participate in them.” —Peter C Gøtzsche, The BMJ, 2012, Big pharma often commits corporate crime, and this must be stopped. Pending (Colombia): Health Promoter Entities (In Spanish: EPS ―Empresas Promotoras de Salud).

1. Misinterpretations New technologies or concepts are difficult to understand in the beginning, it doesn’t matter their simplicity, we need to get used to new tools aimed to improve our professional practice. Probably the best explanation is here in these videos (credits to Antonio Villafaina for sharing these videos with me). English https://www.youtube.com/watch?v=pQHX-SjgQvQ&w=420&h=315 Spanish https://www.youtube.com/watch?v=DApozQBrlhU&w=420&h=315 ----------------------- Hypothesis: hierarchical levels of evidence based medicine are wrong Dear Editor, I have data to support the hypothesis described in the title of this letter. Before rejecting the null hypothesis I would like to ask the following open question:Could you support with data that hierarchical levels of evidence based medicine are correct? (1,2) Additional explanation to this question: – Only respond to this question attaching publicly available raw data.– Be aware that more than a question this is a challenge: I have data (i.e., evidence) which is contrary to classic (i.e., McMaster) or current (i.e., Oxford) hierarchical levels of evidence based medicine. An important part of this data (but not all) is publicly available. References
2. Ramirez, Jorge H (2014): The EBM challenge. figshare. http://dx.doi.org/10.6084/m9.figshare.1135873
3. The EBM Challenge Day 1: No Answers. Competing interests: I endorse the principles of open data in human biomedical research Read this letter on The BMJ – August 13, 2014.http://www.bmj.com/content/348/bmj.g3725/rr/762595Re: Greenhalgh T, et al. Evidence based medicine: a movement in crisis? BMJ 2014; 348: g3725. _ Fileset contents Raw data: Excel archive: Raw data, interactive figures, and PubMed search terms. Google Spreadsheet is also available (URL below the article description). Figure 1. Unadjusted (Fig 1A) and adjusted (Fig 1B) PubMed publication trends (01/01/1992 to 30/06/2014). Figure 2. Adjusted PubMed publication trends (07/01/2008 to 29/06/2014) Figure 3. Google search trends: Jan 2004 to Jun 2014 / 1-week periods. Figure 4. PubMed publication trends (1962-2013) systematic reviews and meta-analysis, clinical trials, and observational studies.
   Figure 5. Ramirez, Jorge H (2014): Infographics: Unpublished US phase 3 clinical trials (2002-2014) completed before Jan 2011 = 50.8%. figshare.http://dx.doi.org/10.6084/m9.figshare.1121675 Raw data: "13377 studies found for: Completed | Interventional Studies | Phase 3 | received from 01/01/2002 to 01/01/2014 | Worldwide". This database complies with the terms and conditions of ClinicalTrials.gov: http://clinicaltrials.gov/ct2/about-site/terms-conditions Supplementary Figures (S1-S6). PubMed publication delay in the indexation processes does not explain the descending trends in the scientific output of evidence-based medicine. Acknowledgments I would like to acknowledge the following persons for providing valuable concepts in data visualization and infographics:
4. Maria Fernanda Ramírez. Professor of graphic design. Universidad del Valle. Cali, Colombia.
5. Lorena Franco. Graphic design student. Universidad del Valle. Cali, Colombia. Related articles by this author (Jorge H. Ramírez)
6. Ramirez JH. Lack of transparency in clinical trials: a call for action. Colomb Med (Cali) 2013;44(4):243-6. URL: http://www.ncbi.nlm.nih.gov/pubmed/24892242
7. Ramirez JH. Re: Evidence based medicine is broken (17 June 2014). http://www.bmj.com/node/759181
8. Ramirez JH. Re: Global rules for global health: why we need an independent, impartial WHO (19 June 2014). http://www.bmj.com/node/759151
9. Ramirez JH. PubMed publication trends (1992 to 2014): evidence based medicine and clinical practice guidelines (04 July 2014). http://www.bmj.com/content/348/bmj.g3725/rr/759895 Recommended articles
10. Greenhalgh Trisha, Howick Jeremy,Maskrey Neal. Evidence based medicine: a movement in crisis? BMJ 2014;348:g3725
11. Spence Des. Evidence based medicine is broken BMJ 2014; 348:g22
12. Schünemann Holger J, Oxman Andrew D,Brozek Jan, Glasziou Paul, JaeschkeRoman, Vist Gunn E et al. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies BMJ 2008; 336:1106
13. Lau Joseph, Ioannidis John P A, TerrinNorma, Schmid Christopher H, OlkinIngram. The case of the misleading funnel plot BMJ 2006; 333:597
14. Moynihan R, Henry D, Moons KGM (2014) Using Evidence to Combat Overdiagnosis and Overtreatment: Evaluating Treatments, Tests, and Disease Definitions in the Time of Too Much. PLoS Med 11(7): e1001655. doi:10.1371/journal.pmed.1001655
15. Katz D. A-holistic view of evidence based medicinehttp://thehealthcareblog.com/blog/2014/05/02/a-holistic-view-of-evidence-based-medicine/ ---

This dataset, uCite, is the union of nine large-scale open-access PubMed citation data separated by reliability. There are 20 files, including the reliable and unreliable citation PMID pairs, non-PMID identifiers to PMID mapping (for DOIs, Lens, MAG, and Semantic Scholar), original PMID pairs from the nine resources, some metadata for PMIDs, duplicate PMIDs, some redirected PMID pairs, and PMC OA Patci citation matching results. The short description of each data file is listed as follows. A detailed description can be found in the README.txt. DATASET DESCRIPTION

1. PPUB.tsv.gz - tsv format file containing reliable citation pairs uCite.
2. PUNR.tsv.gz - tsv format file containing reliable citation pairs uCite.
3. DOI2PMID.tsv.gz - tsv format file containing results mapping DOI to PMID.
4. LEN2PMID.tsv.gz - tsv format file containing results mapping LensID pairs to PMID pairs..
5. MAG2PMIDsorted.tsv.gz - tsv format file containing results mapping MAG ID to PMID.
6. SEM2PMID.tsv.gz - tsv ormat file containing results mapping Semantic Scholar ID to PMID.
7. JVNPYA.tsv.gz - tsv format file containing metadata of papers with PMID, journal name, volume, issue, pages, publication year, and first author's last name.
8. TiLTyAlJVNY.tsv.gz - tsv format file containing metadata of papers.
9. PMC-OA-patci.tsv.gz - tsv format file containing PubMed Central Open Access subset reference strings extracted by \cite{} processed by Patci.
10. REDIRECTS.gz - txt file containing unreliable PMID pairs mapped to reliable PMID pairs.
11. REMAP - file containing pairs of duplicate PubMed records (lhs PMID mapped to rhs PMID).
12. ami_pair.tsv.gz - tsv format file containing all citation pairs from Aminer (2015 version).
13. dim_pair.tsv.gz - tsv format file containing all citation pairs from Dimensions.
14. ice_pair.tsv.gz - tsv format file containing all citation pairs from iCite (April 2019 version, version 1).
15. len_pair.tsv.gz - tsv format file containing all citation pairs from Lens.org (harvested through Oct 2021).
16. mag_pair.tsv.gz - tsv format file containing all citation pairs from Microsoft Academic Graph (2015 version).
17. oci_pair.tsv.gz - tsv format file containing all citation pairs from Open Citations (Nov. 2021 dump, csv version ).
18. pat_pair.tsv.gz - tsv format file containing all citation pairs from Patci (i.e., from "PMC-OA-patci.tsv.gz").
19. pmc_pair.tsv.gz - tsv format file containing all citation pairs from PubMed Central (harvest through Dec 2018 via e-Utilities).
20. sem_pair.tsv.gz - tsv format file containing all citation pairs from Semantic Scholar (2019 version) .

COLUMN DESCRIPTION FILENAME : PPUB.tsv.gz, PUNR.tsv.gz (1) fromPMID - PubMed ID of the citing paper. (2) toPMID - PubMed ID of the cited paper. (3) sources - citation sources, in which the citation pairs are identified. (4) fromYEAR - Publication year of the citing paper. (5) toYEAR - Publication year of the cited paper. FILENAME : DOI2PMID.tsv.gz (1) DOI - Semantic Scholar ID of paper records. (2) PMID - PubMed ID of paper records. (3) PMID2 - Digital Object Identifier of paper records, “-” if the paper doesn't have DOIs. FILENAME : SEMID2PMID.tsv.gz (1) SemID - Semantic Scholar ID of paper records. (2) PMID - PubMed ID of paper records. (3) DOI - Digital Object Identifier of paper records, “-” if the paper doesn't have DOIs. FILENAME : JVNPYA.tsv.gz - Each row refers to a publication record. (1) PMID - PubMed ID. (2) journal - Journal name. (3) volume - Journal volume. (4) issue - Journal issue. (5) pages - The first page and last page (without leading digits) number of the publication separated by '-'. (6) year - Publication year. (7) lastname - Last name of the first author. FILENAME : TiLTyAlJVNY.tsv.gz (1) PMID - PubMed ID. (2) title_tokenized - Paper title after tokenization. (3) languages - Language that paper is written in. (4) pub_types - Types of the publication. (5) length(authors) - String length of author names. (6) journal -Journal name . (7) volume - Journal volume . (8) issue - Journal issue. (9) year - Publication year of print (not necessary epub). FILENAME : PMC-OA-patci.tsv.gz (1) pmcid - PubMed Central identifier. (2) pos - (3) fromPMID - PubMed ID of the citing paper. (4) toPMID - PubMed ID of the cited paper. (5) SRC - citation sources, in which the citation pairs are identified. (6) MatchDB - PubMed, ADS, DBLP. (7) Probability - Matching probability predicted by Patci. (8) toPMID2 - PubMed ID of the cited paper, extracted from OA xml file (9) SRC2 - citation sources, in which the citation pairs are identified. (10) intxt_id - (11) jounal - First character of the journal name. (12) same_ref_string - Y if patci and xml reference string match, otherwise N. (13) DIFF - (14) bestSRC - Citation sources, in which the citation pairs are identified. (15) Match - Matching strings annotated by Patci. FILENAME : REDIRECTS.gz Each row in Redirectis.txt is a string sequence in the same format as follows. - "REDIRECTED FROM: source PMID_i PMID_j -> PMID_i' PMID_j " - "REDIRECTED TO: source PMID_i PMID_j -> PMID_i PMID_j' " Note: source is the names of sources where the PMID_i and PMID_j are from. FILENAME : REMAP Each row is remapping unreliable PMID pairs mapped to reliable PMID pairs. The format of each row is "$REMAP{PMID_i} = PMID_j". FILENAME : ami_pair.tsv.gz, dim_pair.tsv.gz, ice_pair.tsv.gz, len_pair.tsv.gz, mag_pair.tsv.gz, oci_pair.tsv.gz, pat_pair.tsv.gz，pmc_pair.tsv.gz, sem_pair.tsv.gz (1) fromPMID - PubMed ID of the citing paper. (2) toPMID - PubMed ID of the cited paper.