Studying Relationship between Citation and Altmetrics of Top Chemistry Researches’ Articles

Abstract: The main objective of the present research is to examine the relationship between the number of citations and the level of altmetrics for testing the validity of these new metrics, at least in terms of being alignment with the test established index. The present research population consist of articles from the top chemistry writers that were profiled at the Scopus Citation Database in 2010. Sample research is the articles by 20 top author. The present research is applied in terms of purpose, and is descriptive and correlative in terms of data collection. Data extraction was performed using Webometric analyst software and citation data was collected from Scopus. SPSS software was used to analyze the data. The research findings show that the articles in question have little presence on social networks. In terms of the amount of attendance and distribution Mendeley, CiteUlike, Twitter, Facebook, Blogs, Google Plus and News, had the largest number of articles and altmetrics respectively. Also, the results show that Mendeley and Twitter have the most relationship with citations. Also, articles have at least one higher citation average altmetric (25.14%) than those with no altmetric (7.58%). In terms of citations\u27 relationship, the Spearman correlation test showed a strong correlation between the number of Mendeley readers, news, and citations. Also, there was a weak correlation between Twitter, CiteUlike, and citations. Finally, there was not a meaningful relationship between Facebook posts, blog posts, Google plus, and citations

Impact of Teaching Scientific Search Methods and Increasing Familiarity with Databases on the Reduction of Information Seeking Anxiety in Students of Dentistry in the University of Medical Sciences, Iran

Background: The negative impact of anxiety on information seeking is of great importance and it has been studied in different ways worldwide. Based on the results of such studies, it is possible to identify different aspects of information seeking anxiety, to design different tools to assess it, to evaluate personal and social factors affecting it, and to identify various methods to inhibit and reduce it. Hence, the current study aimed to evaluate the effect of teaching scientific search methods and increasing familiarity with databases on reducing the level of anxiety among students of dentistry at the Zahedan University of Medical Sciences, Iran. Methods: The current survey included all students of the faculty of dentistry at the Zahedan University of Medical Sciences in the academic year of 2015 - 16 as the study population. A total of 60 volunteers were selected by convenience sampling and were randomly allocated to 2 groups of 30, as the experimental and control groups. The information seeking anxiety scale was used to collect data. Results: The present findings revealed the effectiveness of teaching interventions on reducing the level of information seeking anxiety among students using the independent t test. Specifically, findings revealed a reduction in the anxiety caused by barriers to using information resources (t = 3.79; P value = 0.001), by the barriers to using the computer and Internet (t = 5.35; P value = 0.001), and by information seeking and topic selection barriers (t = 2.50; P value = 0.015). However, the intervention had no effect on the level of anxiety caused by barriers to using the library (t = 0.89; P value = 0.373) and technical barriers (t = 0.68; P value = 0.495). Conclusions: Considering the findings of the current study, some measures can be taken to reduce information seeking anxiety in students, especially in the academic environment. Hence, it is recommended to design other studies to further evaluate information seeking anxiety. Keywords: Teaching, Information Seeking, Anxiety, Students of Faculty of Dentistry at the University of Medical Science

Studying Relationship between Citation and Altmetrics of Top Chemistry Researches’ Articles

Abstract: The main objective of the present research is to examine the relationship between the number of citations and the level of altmetrics for testing the validity of these new metrics, at least in terms of being alignment with the test established index. The present research population consist of articles from the top chemistry writers that were profiled at the Scopus Citation Database in 2010. Sample research is the articles by 20 top author. The present research is applied in terms of purpose, and is descriptive and correlative in terms of data collection. Data extraction was performed using Webometric analyst software and citation data was collected from Scopus. SPSS software was used to analyze the data. The research findings show that the articles in question have little presence on social networks. In terms of the amount of attendance and distribution Mendeley, CiteUlike, Twitter, Facebook, Blogs, Google Plus and News, had the largest number of articles and altmetrics respectively. Also, the results show that Mendeley and Twitter have the most relationship with citations. Also, articles have at least one higher citation average altmetric (25.14%) than those with no altmetric (7.58%). In terms of citations\u27 relationship, the Spearman correlation test showed a strong correlation between the number of Mendeley readers, news, and citations. Also, there was a weak correlation between Twitter, CiteUlike, and citations. Finally, there was not a meaningful relationship between Facebook posts, blog posts, Google plus, and citations