Aim To analyse and visualize the knowledge structure of scientific articles in the field of Endodontology with high altmetric attention scores to discover hot topics, active researchers and the journals involved. Methodology On 5 June 2019, the altmetric database (Altmetric LLP, London, UK) was searched using the titles of 11 endodontic journals. Bibliometric data from endodontic articles and journals with an altmetric score >5 (top 5%) were retrieved from PubMed and analysed using the VOSviewer. Science mapping of articles with an altmetric score >5 at two levels was created: author keywords co‐occurrence and co‐authorship network analysis. Results Of the 2197 articles in the field of Endodontology identified with altmetrics, 192 had altmetric scores >5 (top 5%). Considering the total mentions amongst all altmetric resources, the Journal of Endodontics had the highest rank followed by the International Endodontic Journal and Australian Endodontic Journal. Twitter was the most popular altmetric data resource followed by patents and Facebook. Meta‐analysis, systematic review and pulpitis were the hot topics. At the author level, Dummer P.M.H had the greatest influence on the network. There was no significant correlation between altmetric score and citations count (P > 0.05). Mendeley mentions correlated with citations (P < 0.05). Conclusions Overall, the altmetric scores of topics within Endodontology were low, possibly due to the specific and specialized nature of the specialty, as well as the difficulty members of the public probably have in understanding endodontic research. Journals and researchers with a focus on Endodontology would have more influence if they were to set‐up their own social media profiles and thus enhance their visibility and social impact by immediately sharing research findings and communicating with their network and audience.

Introduction To report and analyse Altmetric data of all dental articles and journals in 2015.Methods To identify all 2015 dental articles, PubMed was searched via Altmetric platform using the following query: ("2015/1/1"[PDAT]: "2015/12/31"[PDAT]) AND jsubsetd[text] NOT 2016[PDAT] on November 12, 2016. Altmetric data of all 2015 dental articles and journals were extracted and analysed by Microsoft Office Excel 2016 using descriptive statistics, graphs and trend-line analysis. To find the most important and influential Altmetric factors, multi-layered perceptron artificial neural network was employed using SPSS 22.Results A total of 14,884 dental articles published in 2015 using PubMed database were found, from which 5,153 (34.62%) articles had an Altmetric score. The mean Altmetric score was 2.94 ± 9.2 (95% C.I:2.703.22). Mendeley readers (73.19%), Twitter (21.48%), Facebook walls (3.67%), news outlets (0.69%) and bloggers (0.57%) were the most popular Altmetric data resources. At journal level, 147 dental journals with valid Altmetric data were included in the study. The British Dental Journal had the first rank, followed by Journal of Dental Research, Journal of Clinical Periodontology and Journal of the American Dental Association. Sensitivity analysis showed news outlets, tweeters and scientific bloggers were the most important and influential Altmetric data resources.Discussion In comparison with all science subjects and medical and health sciences, 2015 Altmetric scores in dentistry were very low. Uses of new and emerging scholarly tools such as social media, scientific blogs and post-publication peer-review were not common in the dental science. This negligence may be due to lack of knowledge and attitude. An Altmetric score is dynamic and may fluctuate over time.

Introduction. In recent years, several controversial reports of the correlation between altmetric score and citations have been published (range: -0.2 to 0.8). We conducted a meta-analysis to provide an in-depth statistical analysis of the correlation between altmetric score and number of citations in the field of health sciences. Methods. Three online databases (Web of Science, Scopus, and PubMed) were systematically searched, without language restrictions, from the earliest publication date available through February 29, 2020, using the keywords “altmetric,” “citation,” and “correlation.” Grey literature was also searched via WorldCat, Open Grey, and Google Scholar (first 100 hits only). All studies in the field of health sciences that reported on this correlation were included. Effect sizes were calculated using Fisher’s z transformation of correlations. Subgroup analyses based on citation source and sampling methods were performed. Results. From 27 included articles, 8 articles comprise several independent studies. The total sample size was 9,943 articles comprised of 35 studies. The overall pooled effect size was 0.19 (95% confidence interval 0.13 to 0.26). Bivariate partial prediction of interaction between effect size, citation source, and sampling method showed a greater effect size with Web of Science compared with Scopus and Dimensions. Egger’s regression showed a marginally nonsignificant publication bias ( p = 0.055 ), and trim-and-fill analysis estimated one missing study in this meta-analysis. Conclusion. In health sciences, currently altmetric score has a positive but weak correlation with number of citations ( pooled   correlation = 0.19 , 95% C.I 0.12 to 0.25). We emphasize on future examinations to assess changes of correlation pattern between altmetric score and citations over time.

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Periodontitis is an inflammatory periodontal disease that leads to tooth loss. Recently laser has been introduced as an alternative treatment for periodontitis. The aim of the present study was to compare the effect of Erbium-doped Yttrium Aluminum Garnet (Er:YAG) laser with ultrasonic scaler in patients with moderate chronic periodontitis. In this randomized single-blind clinical trial, 27 patients with moderate chronic periodontitis were selected. One quadrant of the patients was treated by Er:YAG laser and the other one by ultrasonic scaler. Clinical parameters, including periodontal pocket depth (PPD), papillary bleeding index (PBI) and clinical attachment level (CAL) were measured before, as well as 6 and 12 weeks after treatment. Data were analyzed by SPSS 20 software using Friedman test, paired t test, independent t test and Mann-Whitney test. The significance level was set at 0.05. The means of clinical parameters in both groups were significantly improved in the first and second follow-ups ( < 0.001). Although the means of PPD, PBI and CAL were slightly higher in the laser group than in the ultrasonic group, the differences were not statistically significant between these two groups ( > 0.05). Although both ultrasonic scaler and Er:YAG laser could effectively improve clinical periodontal parameters, the results did not reveal the superiority of Er:YAG laser over ultrasonic scaler or vice versa.