Predictors of societal and professional impact of orthodontic research. A multivariate, scientometric approach

Doğramacı, Esma J.; Rossi‐Fedele, Giampiero

doi:10.1007/s11192-021-04163-y

Cited by 3 publications

(12 citation statements)

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“…Thus, this approach can also be regarded as being inclusive and additionally recognises that local and regional news mentions can influence societal and professional impact. Unadjusted and adjusted models found news mentions were significantly predictive of AAS, a finding that shares some similarities with orthodontics where news mentions were predictive of AAS and citations in bivariate analyses, but this effect was lost in multivariate models (Doğramacı & Rossi‐Fedele, 2021).…”

Section: Discussionmentioning

confidence: 82%

“…altmetrics, bibliometrics, endodontics, multivariate analysis, scientometrics, social media the onset of the challenges described. The methodology used was adapted from previously published work (Doğramacı & Rossi-Fedele, 2021), which uses AAS and citations as proxy measurements of societal and professional impact, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…In consideration of these factors, it was decided to focus on research articles published in a single year prior to the global pandemic‐related disruptions, using this as a single representative year prior to the onset of the challenges described. The methodology used was adapted from previously published work (Doğramacı & Rossi‐Fedele, 2021), which uses AAS and citations as proxy measurements of societal and professional impact, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…Basic analyses that are performed in some studies demonstrate citation density is negatively correlated with publication age (Ahmad & Elgamal, 2020), and Altmetric Attention Score (AAS) is not correlated with citations (Kolahi et al, 2019). While these results may be statistically significant, their relevance is questionable as many other factors are known to interact simultaneously to produce professional and societal impact (Doğramacı & Rossi‐Fedele, 2021). Scientometrics is a field within bibliometrics that incorporates social sciences, information science and advanced mathematics to identify “patterns in big data” (Leydesdorff & Milojević, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Scientometrics is a field within bibliometrics that incorporates social sciences, information science and advanced mathematics to identify “patterns in big data” (Leydesdorff & Milojević, 2015). A recent scientometric study that adopted multivariate modelling to analyse orthodontic research articles revealed significant associations between publication in an IF journal, article type, grant‐funding and AAS on citations, with origin of research, article type, grant‐funding and open access strongly associated with AAS (Doğramacı & Rossi‐Fedele, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Predictors of societal and professional impact of Endodontology research articles: A multivariate scientometric analysis

Doğramacı

Rossi‐Fedele

2022

Int Endodontic J

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Aim To identify factors that are predictive of short‐term professional and societal impact of research within the specialty of Endodontology and to identify the top‐10 articles that achieved the greatest societal impact and describe their characteristics. Methodology Research articles in the field of Endodontology published in 2019 were eligible for inclusion, with the sample identified using Medline. Following screening of titles and abstracts, bibliometric data of the identified articles were exported into a spreadsheet, where further data related to continental origin, type of article, type of journal (endodontic or non‐endodontic) and grant‐funding were collated, with additional data concerning presence of journal impact factor, citations, news mentions and Altmetric‐tracked‐mentions and scores compiled using Clarivate, Scopus, ProQuest and Altmetric Explorer, respectively. Data analysis comprised descriptive statistics, frequency distributions, cross‐tabulations and un/adjusted negative binomial regression models (p < .05). Results The search retrieved 30 443 articles; 951 were included for analysis. Most articles originated from Asia (43.2%) with over 51.5% of articles published in endodontic journals and 80% published in a journal with an impact factor. Over three‐quarters of articles were primary research, 141 were grant‐funded, 165 had a news mention, 338 achieved an Altmetric Attention Score (AAS) and 808 were cited. The five‐highest ranked articles were mentioned in general news bulletins, five of the top‐10 articles were primary research and six of the top‐10 were published in endodontic journals. The highest AAS and citation count were 100 and 87, respectively. Adjusted models demonstrated that the type of article, publication in a journal with an impact factor, absence of grant‐funding and coverage within general news bulletins predicted the AAS 's (p < .001). Article type, publication in an impact‐factor journal and presence of an AAS were predictive of citations (p < .001). Conclusions Article type and publication in a journal with an impact factor were significant predictors of both societal and professional impact of research articles within Endodontology in the short‐term. Non grant‐funded research and coverage in general news bulletins achieved greater societal impact, whereas an article achieving an AAS was also strongly related to professional impact.

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Section: Discussionmentioning

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictors of societal and professional impact of Endodontology research articles: A multivariate scientometric analysis

Doğramacı

Rossi‐Fedele

2022

Int Endodontic J

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Scientific production on silicate-based endodontic materials: evolution and current state: a bibliometric analysis

et al. 2022

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Supporting grant reviewers through the scientometric ranking of applicants

2023

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Introduction Comparing the scientific output of different researchers applying for a grant is a tedious work. In Hungary, to help reviewers to rapidly rank the scientific productivity of a researcher, a grant decision support tool was established and is available at www.scientometrics.org. In the present study, our goal was to assess the impact of this decision support tool on grant review procedures. Methods The established, publicly available scientometric portal uses four metrics, including the H-index, the yearly citations without self-citations, the number of publications in the last five years, and the number of highly cited publications of a researcher within eleven independent scientific disciplines. Publication-age matched researchers are then ranked and the results are provided to grant reviewers. A questionnaire was completed by reviewers regarding utilization of the scientometric ranking system. The outcome of the grant selection was analyzed by comparing scientometric parameters of applying and funded applicants. We compared three grant allocation rounds before to two grant allocation rounds after the introduction of the portal. Results The scientometric decision support tool was introduced in 2020 to assist grant selection in Hungary and all basic research grant applicants (n = 6,662) were screened. The average score of funded proposals compared to submitted proposals increased by 94% after the introduction of the ranking. Correlation between ranking scores and actual grant selection was strong in life and material sciences but some scientific panels had opposite correlation in social sciences and humanities. When comparing selection outcome to H-index across all applicants, both type I and type II errors decreased. All together 540 reviewers provided feedback representing all eleven scientific disciplines and 83.05% of the reviewers (especially younger reviewers) found the ranking useful. Conclusions The scientometric decision support tool can save time and increase transparency of grant review processes. The majority of reviewers found the ranking-based scientometric analysis useful when assessing the publication performance of an applicant.

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Predictors of societal and professional impact of orthodontic research. A multivariate, scientometric approach

Cited by 3 publications

References 61 publications

Predictors of societal and professional impact of Endodontology research articles: A multivariate scientometric analysis

Predictors of societal and professional impact of Endodontology research articles: A multivariate scientometric analysis

Scientific production on silicate-based endodontic materials: evolution and current state: a bibliometric analysis

Supporting grant reviewers through the scientometric ranking of applicants

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