Dataset Information

Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level.

ABSTRACT: For the biomedical sciences, the Medical Subject Headings (MeSH) make available a rich feature which cannot currently be merged properly with widely used citing/cited data. Here, we provide methods and routines that make MeSH terms amenable to broader usage in the study of science indicators: using Web-of-Science (WoS) data, one can generate the matrix of citing versus cited documents; using PubMed/MEDLINE data, a matrix of the citing documents versus MeSH terms can be generated analogously. The two matrices can also be reorganized into a 2-mode matrix of MeSH terms versus cited references. Using the abbreviated journal names in the references, one can, for example, address the question whether MeSH terms can be used as an alternative to WoS Subject Categories for the purpose of normalizing citation data. We explore the applicability of the routines in the case of a research program about the amyloid cascade hypothesis in Alzheimer's disease. One conclusion is that referenced journals provide archival structures, whereas MeSH terms indicate mainly variation (including novelty) at the research front. Furthermore, we explore the option of using the citing/cited matrix for main-path analysis as a by-product of the software.

SUBMITTER: Leydesdorff L

PROVIDER: S-EPMC5124055 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level.

Leydesdorff Loet L Comins Jordan A JA Sorensen Aaron A AA Bornmann Lutz L Hellsten Iina I

Scientometrics 20161008 3

For the biomedical sciences, the Medical Subject Headings (MeSH) make available a rich feature which cannot currently be merged properly with widely used citing/cited data. Here, we provide methods and routines that make MeSH terms amenable to broader usage in the study of science indicators: using Web-of-Science (WoS) data, one can generate the matrix of citing versus cited documents; using PubMed/MEDLINE data, a matrix of the citing documents versus MeSH terms can be generated analogously. The ...[more]

PMID: 27942085

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Project description:BackgroundMedical Subject Headings (MeSH) thesaurus contribute towards efficient searching of biomedical information. However, insufficient coverage of specific fields and inaccuracies in the indexing of articles can lead to bias during literature retrieval.ObjectivesThis meta-research study aimed to assess the use of 'Pharmaceutical Services' MeSH terms in studies evaluating the effect of pharmacists' interventions.MethodsAn updated systematic search (Jan-2022) to gather meta-analyses comparing pharmacists' interventions vs. other forms of care was performed. All MeSH terms allocated to the MEDLINE record of each primary study included in the selected meta-analyses were systematically extracted. Terms from the 'Pharmaceutical Services' branch, including its descendants, as well as other 26 pharmacy-specific MeSH terms were identified. The assignment of these terms as a 'Major MeSH' was also evaluated. Descriptive statistics and social network analyses to evaluate the co-occurrence of the MeSH terms in the articles were conducted. Sensitivity analyses including only meta-analyses with declared objectives mentioning the words 'pharmacist' or 'pharmacy' were performed (SPSS v.24.0).ResultsOverall, 138 meta-analyses including 2012 primary articles were evaluated. A median of 15 [IQR 12-18] MeSH terms were assigned per article with a slight positive time-trend (Spearman rho = 0.193; p < 0.001). Only 36.6% (n = 736/2012) and 58.1% (n = 338/1099) of studies were indexed with one MeSH term from the 'Pharmaceutical Services' branch in the overall and sensitivity analyses, respectively. In <20% of cases, these terms were a 'Major MeSH'. The pharmacy-specific term 'Pharmacists' was the most frequently used, yet in only 27.8% and 47.7% of articles in the original and sensitivity analyses, respectively. Social networks showed a weak association between pharmacy-specific and 'Pharmaceutical services' branch MeSH terms.ConclusionsThe availability of a 'Pharmaceutical services' branch hierarchic tree and further pharmacy-specific MeSH terms incorporated to the MeSH thesaurus in the past years is not related with accurate indexing of articles.

Project description:The present paper explores nonnative (L2) phonological encoding of lexical entries and dissociates the difficulties associated with L2 phonological and phonolexical encoding by focusing on similarly sounding L2 words that are not differentiated by difficult phonological contrasts. We test two main claims of the fuzzy lexicon hypothesis: (1) L2 fuzzy phonolexical representations are not fully specified and lack details at both phonological and phonolexical levels of representation (Experiment 1); and (2) fuzzy phonolexical representations can lead to establishing incorrect form-to-meaning mappings (Experiment 2). The Russian-English Translation Judgment Task (Experiment 1, TJT) explores how the degree of phonolexical similarity between a word and its lexical competitor affects lexical access of Russian words. Words with smaller phonolexical distance (e.g., parent-parrot) show longer reaction times and lower accuracy compared to words with a larger phonolexical distance (e.g., parent-parchment) in lower-proficiency nonnative speakers, and, to a lesser degree, higher-proficiency speakers. This points to a lack of detail in nonnative phonolexical representations necessary for efficient lexical access. The Russian Pseudo-Semantic Priming task (Experiment 2, PSP) addresses the vulnerability of form-to-meaning mappings as a consequence of fuzzy phonolexical representations in L2. We primed the target with a word semantically related to its phonological competitor, or a potentially confusable word. The findings of Experiment 2 extend the results of Experiment 1 that, unlike native speakers, nonnative speakers do not properly encode phonolexical information. As a result, they are prone to access an incorrect lexical representation of a competitor word, as indicated by a slowdown in the judgments to confusable words. The study provides evidence that fuzzy phonolexical representations result in unfaithful form-to-meaning mappings, which lead to retrieval of incorrect semantic content. The results of the study are in line with existing research in support of less detailed L2 phonolexical representations, and extend the findings to show that the fuzziness of phonolexical representations can arise even when confusable words are not differentiated by difficult phonological contrasts.

Project description:ObjectivesThis study aims to analyze the publications that have studied top-cited articles in dentistry.Material and methodsThe study is applied research in terms of the purpose and scientometrics descriptive in terms of type, which has been done using the Retrospective Bibliometric Analysis. To retrieve the 100 most-cited studies in Scopus, an advance search was used. The search results indicate that 33 articles focused on analyzing the 100 most-cited publications on oral and dental subjects. The bibliographic information, including author, journal, country, institution, citation count, and citation density was analyzed. Then the full text of the articles was reviewed to identify the most productive journal, country, and institute in publishing the 100 most-cited articles and also article type, study design, level of evidence, and the most important subjects among the 100 most-cited papers.ResultsIn these 33 articles, the topics of 3300 most-cited articles were introduced, as well as the introduction of the core journals, countries, and institutes in publishing top-cited articles. The most common research topics in the field of dentistry cover a range of dental public health and pediatric dentistry to adhesive restorative dentistry and implantology. Dental materials, oral medicine, and pathology seem like inseparable topics of common research in dentistry. J Dent Res, which was mentioned in nine articles, was introduced as the journal with the publication of articles of highest citation. J Clin Periodontol and Oral Surgery, Oral Medicine, Oral Pathology, and Oral Radiology were in the second place, being mentioned in five articles. The USA, and two institutions the University of Texas, and the University of Michigan are orderly core country and institute for the production of most-cited articles.ConclusionResearchers and specialists can get familiar with the most productive author, journals, countries, and different institutes for publishing high-quality articles in the field of oral and dental subjects by the means of the results of this article. Furthermore, the results of this study ranked the most cited article topics, which are of interest for publication, demonstrating the future map road oral and dental research.

Dataset Information

Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level.

Publications

Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level.

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