ArticleBritish dental journal2019
Analysis of highly tweeted dental journals and articles: a science mapping approach.
Article in British dental journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Assessing the visibility and public engagement of bone marrow and stem cell transplantation research: An altmetric analysis.Heliyon · 2025Article
- Does the quality of orthodontic studies influence their Altmetric Attention Score?Korean journal of orthodontics · 2023Article
- Scientific Hypotheses: Writing, Promoting, and Predicting Implications.Journal of Korean medical science · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim We aimed to rank dental journals according to the number of Twitter mentions related to their articles. We set out to analyse and visualise the bibliometric characteristics of highly tweeted articles.Methods Twitter mentions were extracted from the Altmetric database. Bibliometric data were obtained from the Web of Science and analysed by VOSviewer software. Hotspots among highly tweeted articles visualised by keyword co-occurrence network analysis. Bibliographic coupling network analysis was used to find the most influential journals, institutions and countries.Results A total of 20,520 Twitter accounts which shared 93,776 tweets related to 23,686 articles from 91 journals were analysed. The British Dental Journal had the highest number of Twitter mentions related to dental articles. Children, dental caries, and periodontal disease were the hottest topics among the 134 highly tweeted dental articles. @The_BDJ had the highest number of tweets related to dental articles, followed by @Dddent2 and @gary_takacs. @TheBDA had the highest number of followers, followed by @Dddent2 and @The_BDJ.Discussion Ground breaking issues such as genomic medicine, stem cells, tissue engineering, nanotechnology, and artificial intelligence were not seen among the highly tweeted dental articles. In the 'Twittersphere', some independent scientists are more active than well-known dental organisations and journals. The journals are strongly recommended to be proactive in Twittersphere, to set up their own Twitter profile, and to promote their visibility and social impact by immediately tweeting the articles. Researchers should be alert to the overuse of Twitter in scholarly communications. The Kardashian index will be a useful tool to measure the over/under activity of a researcher on Twitter.
Indexed as
Identifiers
31076699What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.