Dataset Information

OpCitance: Citation contexts identified from the PubMed Central open access articles.

ABSTRACT: OpCitance contains all the sentences from 2 million PubMed Central open-access (PMCOA) articles, with 137 million inline citations annotated (i.e., the "citation contexts"). Parsing out the references and citation contexts from the PMCOA XML files was non-trivial due to the diversity of referencing style. Only 0.5% citation contexts remain unidentified due to technical or human issues, e.g., references unmentioned by the authors in the text or improper XML nesting, which is more common among older articles (pre-2000). PubMed IDs (PMIDs) linked to inline citations in the XML files compared to citations harvested using the NCBI E-Utilities differed for 70.96% of the articles. Using an in-house citation matcher, called Patci, 6.84% of the referenced PMIDs were supplemented and corrected. OpCitance includes fewer total number of articles than the Semantic Scholar Open Research Corpus, but OpCitance has 160 thousand unique articles, a higher inline citation identification rate, and a more accurate reference mapping to PMIDs. We hope that OpCitance will facilitate citation context studies in particular and benefit text-mining research more broadly.

SUBMITTER: Hsiao TK

PROVIDER: S-EPMC10139909 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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OpCitance: Citation contexts identified from the PubMed Central open access articles.

Hsiao Tzu-Kun TK Torvik Vetle I VI

Scientific data 20230428 1

OpCitance contains all the sentences from 2 million PubMed Central open-access (PMCOA) articles, with 137 million inline citations annotated (i.e., the "citation contexts"). Parsing out the references and citation contexts from the PMCOA XML files was non-trivial due to the diversity of referencing style. Only 0.5% citation contexts remain unidentified due to technical or human issues, e.g., references unmentioned by the authors in the text or improper XML nesting, which is more common among old ...[more]

PMID: 37117220

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Project description:Open-access (OA) publishing is increasingly prevalent in dermatology, and many journals now offer hybrid options, including conventional (subscription-based access [SA]) publishing or OA (with an author publishing charge) in a subscription journal. OA publishing has been noted in many disciplines, but this has been rarely studied in dermatology. Using the Clarivate Journal Citation Report, we compiled a list of English-language dermatology hybrid OA journals containing more than 5% OA articles. We sampled any OA review or original research article in 4 issues from 2018 to 2019 and matched an equal number of SA articles. Citation count, citation count excluding self-citations and view counts found using Scopus and Altmetrics score were recorded for each article. Statistical analyses were performed using logistic and negative binomial models using R software. Twenty-seven hybrid dermatology journals were found, and 538 articles were sampled (269 OA, 269 SA). For both original research and review articles, OA articles had significantly higher mean citation counts (mean 13.2, standard deviation [SD] 17.0) compared to SA articles (mean 7.9, SD 8.8) (odds ratio [OR] 1.04; 95% CI 1.02-1.05; P < .001) including when adjusted for time from publication. Original research OA articles had significantly higher citation counts than original research SA articles (excluding self-citations; OR, 1.03; 95% CI, 1.01-1.05; P = .003), and review articles also had OA citation advantage than review SA articles (OR, 1.06; 95% CI, 1.02-1.11; P = .008). There was, however, no significant difference in citation counts between review articles and original research articles (OR, 1.00; 95% CI, 0.19-5.31; P = 1.000). There was no significant difference seen in view counts (OA: mean±SD 17.7±10.8; SA: mean±SD 17.1±12.4) and Altmetric score (OA: mean±SD 13.2±47.8; SA: mean±SD 6.3±25.0) between OA and SA articles. Potential confounders included the fact that more OA articles were published in Europe than in Asia, and pharmaceutical-funded articles were more likely to be published OA. We noted a higher citation count for OA articles than SA articles in dermatology hybrid journals. However, dermatology researchers should take into account confounding factors when deciding whether to increase the impact of their work by selecting OA over SA publishing.

Project description:Background. Open access (OA) journals allows access to research papers free of charge to the reader. Traditionally, biomedical researchers use databases like MEDLINE and EMBASE to discover new advances. However, biomedical OA journals might not fulfill such databases' criteria, hindering dissemination. The Directory of Open Access Journals (DOAJ) is a database exclusively listing OA journals. The aim of this study was to investigate DOAJ's coverage of biomedical OA journals compared with the conventional biomedical databases. Methods. Information on all journals listed in four conventional biomedical databases (MEDLINE, PubMed Central, EMBASE and SCOPUS) and DOAJ were gathered. Journals were included if they were (1) actively publishing, (2) full OA, (3) prospectively indexed in one or more database, and (4) of biomedical subject. Impact factor and journal language were also collected. DOAJ was compared with conventional databases regarding the proportion of journals covered, along with their impact factor and publishing language. The proportion of journals with articles indexed by DOAJ was determined. Results. In total, 3,236 biomedical OA journals were included in the study. Of the included journals, 86.7% were listed in DOAJ. Combined, the conventional biomedical databases listed 75.0% of the journals; 18.7% in MEDLINE; 36.5% in PubMed Central; 51.5% in SCOPUS and 50.6% in EMBASE. Of the journals in DOAJ, 88.7% published in English and 20.6% had received impact factor for 2012 compared with 93.5% and 26.0%, respectively, for journals in the conventional biomedical databases. A subset of 51.1% and 48.5% of the journals in DOAJ had articles indexed from 2012 and 2013, respectively. Of journals exclusively listed in DOAJ, one journal had received an impact factor for 2012, and 59.6% of the journals had no content from 2013 indexed in DOAJ. Conclusions. DOAJ is the most complete registry of biomedical OA journals compared with five conventional biomedical databases. However, DOAJ only indexes articles for half of the biomedical journals listed, making it an incomplete source for biomedical research papers in general.

Dataset Information

OpCitance: Citation contexts identified from the PubMed Central open access articles.

Publications

OpCitance: Citation contexts identified from the PubMed Central open access articles.

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