Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan

Kawashima, Hirotaka; Tomizawa, Hiroyuki

doi:10.1007/s11192-015-1580-z

Cited by 62 publications

(46 citation statements)

References 14 publications

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“…Although it has not been validated in the United States, a recent article showed the Scopus ® author identification search feature in Japan was 99% precise when compared to the largest funding database. 28 …”

Section: Methodsmentioning

confidence: 99%

“…Scopus has excellent author searching capabilities and was proven to be 99% in a recent Japanese study. 28 Fourth, we may not be able to identify post-residency publications in projects where the author changed the last name; to overcome this, we searched co-investigators to assess if there are co-authors on future papers. Many journals suggest incorporating ORCID (Open Researcher and Contributor ID) to submitted manuscripts.…”

Section: Limitationsmentioning

confidence: 99%

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Impact of resident research publication on early-career publication success

Stranges

Vouri

2016

American Journal of Health-System Pharmacy

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Purpose The impact of resident research publication on early-career publication success was evaluated. Methods This study included a retrospective cohort of pharmacy residents’ abstracts presented at the Great Lakes Pharmacy Resident Conference (GLPRC). Published residency research projects at GLPRC were matched 1:1 to unpublished projects. Residents were followed forward for five years to identify early career publications (post-residency publication-positive) versus no publications (post-residency publication-negative). The following characteristics of post-residency publication-positive and publication-negative residents were compared; publication of residency project, university-affiliated residencies, median number and interquartile range of coinvestigators, presence or absence of a physician coinvestigators, highest nonphysician H-index of coinvestigators, and nonphysician H-index ≥ 1 for any coinvestigator (indicating that a coinvestigator has previously published and been cited). Results A total of 152 abstracts were reviewed (76 published and 76 unpublished projects). Using a predefined systematic search strategy, 55 former residents had a postresidency publication within 5 years after presenting their project at the GLPRC. Of the former residents who published their residency project, 38 (50%) were postresidency publication-positive, while 17 former residents (22.4%) who did not publish their residency research project were postresidency publication positive. Univariate and multivariate analyses revealed that publication of the pharmacy resident research project and a university-affiliated residency program was positively associated with postresidency publication success. Conclusions Pharmacy residents who published their residency research project after its presentation at GLPRC were twice as likely to have a publication success within five years compared with residents who did not publish their residency project. A university-affiliated residency was associated with postresidency publication success within five year after project presentation.

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Section: Methodsmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

Impact of resident research publication on early-career publication success

Stranges

Vouri

2016

American Journal of Health-System Pharmacy

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“…Scopus author IDs are automatically assigned by an author name disambiguation algorithm that prioritises precision (i.e., attempts to avoid conflating different researchers with the same name) (Moed & Plume, 2013). It accuracy seems to be high since a study of Japanese funded authors found it to have precision of 99% (99% of papers associated with an author ID were correctly assigned) and recall of 98% (98% of an author's papers were assigned to their ID) (Kawashima & Tomizawa, 2015). Duplicate IDs occurred in these lists when authors had multiple affiliations, reducing the total number of unique authors, for articles with large sets.…”

Section: Methodsmentioning

confidence: 99%

Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate

Thelwall

2020

Quantitative Science Studies

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This paper introduces a simple agglomerative clustering method to identify large publishing consortia with at least 20 authors and 80% shared authorship between articles. Based on Scopus journal articles 1996-2018, under these criteria, nearly all (88%) of the large consortia published research with citation impact above the world average, with the exceptions being mainly the newer consortia for which average citation counts are unreliable. On average, consortium research had almost double (1.95) the world average citation impact on the log scale used (Mean Normalised Log Citation Score). At least partial alphabetical author ordering was the norm in most consortia. The 250 largest consortia were for nuclear physics and astronomy around expensive equipment, and for predominantly health-related issues in genomics, medicine, public health, microbiology and neuropsychology. For the health-related issues, except for the first and last few authors, authorship seem to primary indicate contributions to the shared project infrastructure necessary to gather the raw data. It is impossible for research evaluators to identify the contributions of individual authors in the huge alphabetical consortia of physics and astronomy, and problematic for the middle and end authors of health-related consortia. For small scale evaluations, authorship contribution statements could be used, when available.

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“…Both scholar and publication data were downloaded from Scopus , from 1999 to 2015, inclusive for the three identified universities. To avoid potential author name confusion, Scopus implements a reliable unique author ID (Kawashima & Tomizawa, ). For example, there are 31 Albert Einstein's in Scopus, and each one has a unique author ID.…”

Section: Methodsmentioning

confidence: 99%

Developing a scholar classification scheme from publication patterns in academic science: A cluster analysis approach

Blackmore

2019

Asso for Info Science & Tech

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The impact of university rankings has driven scholars to increase productivity, and expanding collaboration has dramatically changed the publishing patterns in the academic publication system. The aim of this study was to develop a scholar classification scheme from publication patterns in academic science. Classification schemes are ways of describing groups that display different clusters of behaviors, approaches, or perspectives, and useful in the development of typologies. In this research, sample data are selected from three representative universities, considered a leading university, a middle-tier university, and a noncomprehensive university. A final set of 11,427 effective scholars and their 284,128 journal publication records were used to develop the classification scheme via cluster analysis. The results identify six types of scholars, labeled as: singleton (8%), small-team low performer (16%), smallteam high performer (17%), big-team strategist (22%), free-style follower (21%), and life-time warrior (17%). These six scholar types demonstrate different approaches to publishing that can be used to understand both individual and research team performance across different institutional settings. Additionally, possible future work was identified that uses the scholar classification scheme to define the behavior for agents in an agent-based model to simulate the strategicbehavior-driven academic publication system.

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Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan

Abstract: Teachers are most significant factor in education system. Teachers are playing very important role for the success of education system.

Cited by 62 publications

References 14 publications

Impact of resident research publication on early-career publication success

Impact of resident research publication on early-career publication success

Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate

Developing a scholar classification scheme from publication patterns in academic science: A cluster analysis approach

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