FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381838951> ?p ?o ?g. }

• W4381838951 endingPage "e34050" @default.
• W4381838951 startingPage "e34050" @default.
• W4381838951 abstract "Numerous studies have explored the most productive and influential authors in a specific field. However, 2 challenges arise when conducting such research. First, some authors may have identical names in the study data, and second, the contributions of coauthors may vary in the article by line, requiring consideration. Failure to address these issues may result in biased research findings. Our objective was to illustrate how the author-weighted scheme (AWS) and betweenness centrality (BC) can be employed to identify the 10 most frequently cited authors in a particular journal and analyze their research themes.We collected 24,058 abstracts from the PubMed library between 2000 and 2020 using the keyword Medicine [Journal]. Author names, countries/regions, and medical subject headings (MeSH terms) were collected. The AWS to identify the top 10 authors with a higher x-index was applied. To address the issue of authors with identical names affiliated with different research institutes, we utilized the BC method. Social network analysis (SNA) was conducted, and 10 major clusters were identified to highlight authors with a higher x-index within the corresponding clusters. We utilized SNA to analyze the MeSH terms from articles of the 10 top-cited authors to identify their research themes.Our findings revealed the following: within the top 10 cited authors, 2 authors from China shared identical names with Jing Li and Tao-Wang; JA Winkelstein from Maryland (US) had the highest x-index (15.58); Chia-Hung Kao from Taiwan was the most prolific author, having published 115 articles in Medicine since 2003; and the 3 primary research themes, namely, complications, etiology, and epidemiology, were identified using MeSH terms from the 10 most frequently cited authors.Using AWS and BC, we identified the top 10 most cited authors. The research methods we utilized in this study (BC and AWS) have the potential to be applied to other bibliometric analyses in the future." @default.
• W4381838951 created "2023-06-25" @default.
• W4381838951 creator A5004789627 @default.
• W4381838951 creator A5022483486 @default.
• W4381838951 creator A5027968376 @default.
• W4381838951 creator A5029803518 @default.
• W4381838951 creator A5036005009 @default.
• W4381838951 date "2023-06-23" @default.
• W4381838951 modified "2023-09-29" @default.
• W4381838951 title "The 10 top-cited authors who published papers in journal medicine since 2000 using the betweenness centrality to identify unique names: Bibliometric analysis" @default.
• W4381838951 cites W1971511272 @default.
• W4381838951 cites W2011453004 @default.
• W4381838951 cites W2026950120 @default.
• W4381838951 cites W2051039162 @default.
• W4381838951 cites W2056944867 @default.
• W4381838951 cites W2059163840 @default.
• W4381838951 cites W2064961604 @default.
• W4381838951 cites W2073204981 @default.
• W4381838951 cites W2084170271 @default.
• W4381838951 cites W2104192199 @default.
• W4381838951 cites W2128438887 @default.
• W4381838951 cites W2171707538 @default.
• W4381838951 cites W2328341808 @default.
• W4381838951 cites W2396973052 @default.
• W4381838951 cites W2410952352 @default.
• W4381838951 cites W2505881787 @default.
• W4381838951 cites W2599388232 @default.
• W4381838951 cites W2748339411 @default.
• W4381838951 cites W2767656496 @default.
• W4381838951 cites W2795424243 @default.
• W4381838951 cites W2802794772 @default.
• W4381838951 cites W2802955794 @default.
• W4381838951 cites W2809867448 @default.
• W4381838951 cites W2848139917 @default.
• W4381838951 cites W2894716517 @default.
• W4381838951 cites W2896487251 @default.
• W4381838951 cites W2911669356 @default.
• W4381838951 cites W2914546025 @default.
• W4381838951 cites W2924203081 @default.
• W4381838951 cites W2977618142 @default.
• W4381838951 cites W2982216810 @default.
• W4381838951 cites W2996655668 @default.
• W4381838951 cites W3001161520 @default.
• W4381838951 cites W3032191249 @default.
• W4381838951 cites W3049695921 @default.
• W4381838951 cites W3097195309 @default.
• W4381838951 cites W3121166753 @default.
• W4381838951 cites W3130458970 @default.
• W4381838951 cites W3130605734 @default.
• W4381838951 cites W3135095772 @default.
• W4381838951 cites W3136029610 @default.
• W4381838951 cites W3137033836 @default.
• W4381838951 cites W3137181362 @default.
• W4381838951 cites W4296349064 @default.
• W4381838951 doi "https://doi.org/10.1097/md.0000000000034050" @default.
• W4381838951 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37352024" @default.
• W4381838951 hasPublicationYear "2023" @default.
• W4381838951 type Work @default.
• W4381838951 citedByCount "0" @default.
• W4381838951 crossrefType "journal-article" @default.
• W4381838951 hasAuthorship W4381838951A5004789627 @default.
• W4381838951 hasAuthorship W4381838951A5022483486 @default.
• W4381838951 hasAuthorship W4381838951A5027968376 @default.
• W4381838951 hasAuthorship W4381838951A5029803518 @default.
• W4381838951 hasAuthorship W4381838951A5036005009 @default.
• W4381838951 hasBestOaLocation W43818389511 @default.
• W4381838951 hasConcept C105795698 @default.
• W4381838951 hasConcept C114713312 @default.
• W4381838951 hasConcept C117045392 @default.
• W4381838951 hasConcept C136764020 @default.
• W4381838951 hasConcept C144024400 @default.
• W4381838951 hasConcept C161191863 @default.
• W4381838951 hasConcept C178315738 @default.
• W4381838951 hasConcept C202444582 @default.
• W4381838951 hasConcept C2522767166 @default.
• W4381838951 hasConcept C2777382242 @default.
• W4381838951 hasConcept C2777855551 @default.
• W4381838951 hasConcept C3017579018 @default.
• W4381838951 hasConcept C33923547 @default.
• W4381838951 hasConcept C36289849 @default.
• W4381838951 hasConcept C41008148 @default.
• W4381838951 hasConcept C512399662 @default.
• W4381838951 hasConcept C525823164 @default.
• W4381838951 hasConcept C53811970 @default.
• W4381838951 hasConcept C68062652 @default.
• W4381838951 hasConcept C71924100 @default.
• W4381838951 hasConcept C9652623 @default.
• W4381838951 hasConceptScore W4381838951C105795698 @default.
• W4381838951 hasConceptScore W4381838951C114713312 @default.
• W4381838951 hasConceptScore W4381838951C117045392 @default.
• W4381838951 hasConceptScore W4381838951C136764020 @default.
• W4381838951 hasConceptScore W4381838951C144024400 @default.
• W4381838951 hasConceptScore W4381838951C161191863 @default.
• W4381838951 hasConceptScore W4381838951C178315738 @default.
• W4381838951 hasConceptScore W4381838951C202444582 @default.
• W4381838951 hasConceptScore W4381838951C2522767166 @default.
• W4381838951 hasConceptScore W4381838951C2777382242 @default.
• W4381838951 hasConceptScore W4381838951C2777855551 @default.

• next