Impact of COVID-19 Dentistry-Related Literature: An Altmetric Study

Delli, Konstantina; Livas, Christos; Nikitakis, Nikolaos G.; Vissink, Arjan

doi:10.1016/j.identj.2022.11.005

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Unlike findings reported by other similar studies( 61 – 63 ), our results showed significant positive correlations between AAS and citation with varied strength for all 788 articles, Top-cited, Top-AAS, and High-High datasets. This difference between our work and other study may attribute to the differential research field.…”

Section: Discussioncontrasting

confidence: 99%

The bibliometric and altmetric analysis of chronic traumatic encephalopathy research: how great is the impact?

Guan,

Tan,

et al. 2024

Front. Neurol.

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BackgroundThe study of chronic traumatic encephalopathy (CTE) has received great attention from academia and the general public. This study aims to analyze the research productivity on CTE and investigate the most discussed articles in academia and the general public by conducting bibliometric and altmetric analyses.MethodsData of articles were obtained from the Web of Science Core Databases and Altmetric Explore. VOSviewer and CiteSpace software were used to analyze and visualize the articles. The correlation between Altmetric attention scores (AAS) and citation counts were assessed by Spearman correlation coefficient.Results788 publications of CTE were eventually gathered and analyzed, and 100 articles with highest citation counts (Top-cited) and 100 articles with highest AASs (Top-AAS) were then identified. The keywords density map showed both the general public and the scientists were particularly interested in the risk factors and pathology of CTE, and scientists were interested in the causes and characteristics of neurodegenerative diseases while the public became increasingly concerned about the detection and prevention of CTE. By examining the shared characteristics of the 44 articles (High-High articles) that overlapped between Top-cited and Top-AAS articles, we identified certain traits that may potentially contribute to their high citation rates and high AASs. Besides, significant positive correlations with varied strength between AAS and citation were observed in the 788 articles, Top-cited, Top-AAS and High-High datasets.ConclusionThis study is the first to link bibliometric and altmetric analyses for CTE publications, which may provide deeper understanding of the attention of the scientists and the general public pay to the study of CTE, and offer some guidance and inspiration for future CTE in the selection of research topics and directions.

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Section: Discussioncontrasting

confidence: 99%

The bibliometric and altmetric analysis of chronic traumatic encephalopathy research: how great is the impact?

Guan,

Tan,

et al. 2024

Front. Neurol.

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“…COVID-19 was a newly recognized subspecialty in this research, and it was also the most common (n = 7) among all subspecialties of the letters scored by Altmetric. This result was consistent with Delli et al's [54] nding that the most common type of document was 'letter' when all COVID-19-related dentistry articles having an AAS were analyzed. The COVID-19 pandemic has highlighted the importance of letters in the medical sciences by demonstrating that they can be a source of critical peer-reviewed information [55].…”

Section: Discussionsupporting

confidence: 91%

Bibliometric and altmetric analyses of the 100 top-cited letters in Endodontics

Yılmaz,

Dinçol

2024

Preprint

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ObjectivesTo analyze bibliometric and altmetric features of the 100 top-cited letters in endodontics and the relationships of these features with the number of citations. Material and Methods Scopus and Web of Science databases were reviewed to identify the relevant letters and obtain their traditional bibliometric measures. Univariate statistical tests were used to analyze the relationships between the number of citations and various continuous (Altmetric Attention Score, captures, usage) and categorical (publication model, journal type, social media, institutional collaboration type) parameters of the letters. Poisson regression in a generalized linear model was used for multivariate analysis of the parameters found to be significant in the univariate tests. Results The majority of the letters (n = 65) concerned clinical issues. There were 13 different types of letters, with opinion letters as the most cited and letters (n = 31) commenting on a previous document as the most frequent. Articles were the most common type of document commented on, whereas the majority of the comments were negative. The multivariate test revealed that the captures (p = 0.001) and the non-dental journal type (p = 0.001) increased the number of citations by 2.533 and 1.008 times, respectively. Conclusions Publication in a non-dental journal increased the number of citations. Letters expressing opinions on any free topic were the most cited letter type. Captures can be used to predict future citations. Clinical Relevance The letter is an appropriate document type for conducting a clinical discourse.

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