Purpose The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators. Design/methodology/approach This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS. Findings According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001). Practical implications The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles. Originality/value Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.

Background: As a newly-emerged metric for evaluating scientific research, altmetrics captures the online activity regarding individual scientific items and is increasingly used in disseminating scientific information in a real-time span. This study aimed to conduct an altmetrics analysis of articles published in the Medical Journal of the Islamic Republic of Iran (MJIRI) during 1987-2020. Methods: Using the archives of MJIRI's articles (during 1987-2020) and the four databases of Google Scholar, Scopus, Dimensions, and Altmetrics needed data on received citations as well as altmetric indicators and altmetric attention scores of these articles were extracted manually in December 2020. Data analysis was done in Excell and SPSS-25. Results: Only 1274 MJIRI articles (about 51%) were present in the Altmetric Institute and had an altmetric attention score. Only 109 papers (8.5%) were shared at least once on online social media. Twitter was the most frequent social medium used for sharing the articles (n=91, 7.14%). These articles were twitted 171 times in total and the mean rate of twitting them was 1.88 per paper. Users from 21 countries in the world tweeted the articles. The top three twitting courtiers/regions were the United States (n=47), the United Kingdom (n=14) and India (n=3), respectively. Regarding twitters' membership status, the top three ranks were dedicated to the members of the public with 137 twits, practitioners (doctors and other healthcare professionals) with 18 twits and scientists with 16 twits. In Mendeley, the top three ranks were dedicated to master students (n=284), bachelor students (n=240) and Ph.D. students (n=155), respectively. The top three disciplines in this regard were medicine and dentistry (n=335), nursing and health profession (n=190), and biochemistry, genetics and molecular biology (n=68). Most of the highly-mentioned articles were review papers. The relationship between the altmetric attention score and citation performance of MJIR articles was not significant (p>0.05). Conclusion: This study is one of the first studies to investigate the altmetrics indicators of articles published in an Iranian high-prestigious internationally-wide medical journal. Using social media tools can certainly promote medical scholars' scientific interactions and make added value for research published in medical journals. Editorial boards, including that of MJIRI can use altmetrics for detecting research trends and publishing approaches and consequently increased citation counts and research impact.