seyyed hossein Shafiei; mohammad soleimani; Mahin Ahmadi Pishkuhi; Ehsan pendar
Abstract
The altmetric Attention Score scale quantifies the attention that publications receive on various social media. Some studies have been conducted on the correlation between AAS and citations of articles in other disciplines but orthopedics. This study aimed to compare AAS with citation numbers on the ...
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The altmetric Attention Score scale quantifies the attention that publications receive on various social media. Some studies have been conducted on the correlation between AAS and citations of articles in other disciplines but orthopedics. This study aimed to compare AAS with citation numbers on the top 50 articles regarding citation numbers. For this study the Scopus database was searched for the most 50 cited manuscripts on orthopedics from January 2015 to December 2020. Subsequently, altimetric attention score (AAS) and the number of Tweeters, Dimensions, etc, were retrieved for each article through "Bookmarklet for Researchers" at Altmetric.com. Results show a statistically low and non-significant relationship was indicated between the citation number and the AAS and also shown the linear relationship between the mention on Twitter and the altmetric attention score. Most of previous articles represented that there is a weak to moderate relationship between the citation number and the AAS that is similar to our findings. There is a low but significant correlation exists between the AAS and the number of citations. In addition, the AAS is directly and linearly linked to the number of mentions on Twitter.
Sepideh Fahimifar; Ali Ghorbi; Marcel Ausloos
Volume 20, Issue 1 , January 2022
Abstract
The present research attempts to identify the impact of retracted papers on previous or subsequent papers. We consider the 5693 retracted papers from 1975 to 2020 indexed in the Web of Science database based on bibliometric methods. We use HistCite, Excel, and SPSS software as technical means. The findings ...
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The present research attempts to identify the impact of retracted papers on previous or subsequent papers. We consider the 5693 retracted papers from 1975 to 2020 indexed in the Web of Science database based on bibliometric methods. We use HistCite, Excel, and SPSS software as technical means. The findings suggest a significant difference between the average number of retracted and unretracted papers when cited in retracted papers. Furthermore, there is a significant difference between the average number of unretracted and retracted papers citing retracted papers. The reasons for the retraction of an article may not be the previous retracted papers, yet unretracted papers may be retracted later because of referring to (many) retracted papers. It is deduced that proprietors of citation databases should carefully focus on these papers by checking references to each new paper citing previously retracted papers.https://dorl.net/dor/20.1001.1.20088302.2022.20.1.17.0
Shohreh SeyyedHosseini; Reza BasirianJahromi
Volume 19, Issue 1 , December 2021, , Pages 15-26
Abstract
Traditional citation analysis has been greatly criticized because the process of citation accumulation requires considerable time after publication. So, the term “altmetrics” was proposed in 2010 to measure the scientific and social impact of a paper. According to the deficiencies of traditional ...
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Traditional citation analysis has been greatly criticized because the process of citation accumulation requires considerable time after publication. So, the term “altmetrics” was proposed in 2010 to measure the scientific and social impact of a paper. According to the deficiencies of traditional citation analysis, we performed a comprehensive search for medical ethics publications using the altmetrics approach from the beginning until 2019. In this descriptive-analytical study, we retrieved the articles discussing any topics relating to medical ethics that published in the Scopus database from the beginning till 2019 using related medical ethics keywords. A total number of 455 articles with altmetrics scores and citations, included in this study. Altmetrics data were extracted via an altmetrics bookmarklet. Dimensions, Mendeley, and Twitter, had prominent sources of attention on social media platforms. The most number of tweets, and Mendeley's attentions, in the medical ethics fields, originated from the United States (US) and the United Kingdom (UK). Moreover, master students have the largest share in the citation of articles in Mendeley. Journal of Medical Ethics and History of Medicine has the most proportion of altmetrics score among Iranian papers in medical ethics. The correlation between the altmetrics score and citation index was significant (p <0.05). The medical ethics researchers have to pay more attention to social activities (such as creating and updating their profiles on social media) on the web for wide dissemination and proper evaluation of their scientific publications.
Nosrat Riahinia; Forough Rahimi; Maryam Jahangiri; Saideh Mirhaghjoo; Fatemeh Alinezhad
Volume 16, Issue 2 , July 2018
Abstract
The present study aimed to investigate the relationship between traditional citation indexes representing hot papers in the field of “Clinical Medicine” and their bookmarking and readership in “Mendeley software”. The citation counts of hot papers were extracted from Essential Science Indicators ...
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The present study aimed to investigate the relationship between traditional citation indexes representing hot papers in the field of “Clinical Medicine” and their bookmarking and readership in “Mendeley software”. The citation counts of hot papers were extracted from Essential Science Indicators (ESI) and Web of Science (WoS). As an applied research adopting a descriptive-exploratory method, the present study used the Essential Science Indicators to retrieve hot articles published between 2014 and 2016, indexed in the category “Medical Sciences”. Each record was then searched in Mendeley to obtain the number of readership of the paper and the academic status of the users. The results showed a significant positive correlation between Mendeley readership and citation indexes in both ESI and WoS. Moreover, the most frequently-cited articles in both databases attracted more readers in Mendeley than lowly-cited publications and both hypotheses were confirmed. Moreover, the findings revealed that Mendeley users had assigned a total number of 3847 tags to the hot papers, with the tags ranging in frequency from zero to 38 for individual articles. Compared with author keywords and Plus, about 10 percent of users’ tags were either meaningless or repetitive. The value of present study shows that “Mendeley Sofware” with the possibility of tagging articles, can be used to create a searchable folksonomy of information and as a source of data in information retrieval studies, help professionals to manage their literatures and make their research life easier.
