Extra credit for disruption: trend of disruption in radiology academic journals.
Aim: To identify the most disruptive publications, which are those that are cited more frequently than their own references, in academic radiology journals and their characteristics, such as the number of authors and relative time to publication.Material and Methods: A comprehensive literature searc...
| Published in: | Clinical Radiology Vol. 77; no. 12; pp. 893 - 902 |
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| Main Authors: | , , , , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Dec2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160166124&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160166124 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00099260 23Q jtl: Clinical Radiology issn: 00099260 maglogo: N pubinfo: dt: Dec2022 vid: 77 iid: 12 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 160166124 160166124 NLM36150935 160166124 10.1016/j.crad.2022.07.003 NLM36150935 160166124 ppf: 893 ppct: 9 formats: tig: atl: Extra credit for disruption: trend of disruption in radiology academic journals. aug: au: Abu-Omar, A. Kennedy, P. Yakub, M. Robbins, J.B. Yassin, A. Verma, N. Scaglione, M. Khosa, F. affil: Department of Radiology, The James Cook University Hospital NHS Foundation Trust, Middlesbrough, UK sug: subj: Newsletters Specialties, Medical Bibliometrics Study Design Radiography ab: Aim: To identify the most disruptive publications, which are those that are cited more frequently than their own references, in academic radiology journals and their characteristics, such as the number of authors and relative time to publication.Material and Methods: A comprehensive literature search was undertaken to identify the 100 most disruptive publications in the field of radiology. Subsequently, statistical analysis was applied to establish the distribution of disruptive scores of the isolated publications using a non-parametric probability density function. The relation between disruptive scores and citation counts was then determined, with the aid of a correlation coefficient. Finally, data regarding any significant connection between disruption scores and time of publication, number of authors, and study design were examined.Results: Analysing the top 100 papers in increments of 10-year periods showed no significant difference in the distribution of disruption scores over time. No correlation between an article's citation count and disruption score was established. Additionally, no significant relation between the number of authors/study design and disruption scores was identified.Conclusion: The disruption score highlights significant impact elements not entirely accounted for by citation count. Its potential benefit in assessing scientific impact should be contemplated. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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