Fezzeh Ebrahimi; Asefeh Asemi; Ahmad Shabani; Amin Nezarat
Volume 19, Issue 2 , July 2021, , Pages 1-18
Abstract
Nowadays, scientific collaboration has dramatically increased due to web-based technologies, advanced communication systems, and information and scientific databases. The present study aims to provide a predictive model for author collaborations in bioinformatics research output using graph mining techniques ...
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Nowadays, scientific collaboration has dramatically increased due to web-based technologies, advanced communication systems, and information and scientific databases. The present study aims to provide a predictive model for author collaborations in bioinformatics research output using graph mining techniques and big data applications. The study is applied-developmental research adopting a mixed-method approach, i.e., a mix of quantitative and qualitative measures. The research population consisted of all bioinformatics research documents indexed in PubMed (n=699160). The correlations of bioinformatics articles were examined in terms of weight and strength based on article sections including title, abstract, keywords, journal title, and author affiliation using graph mining techniques and big data applications. Eventually, the prediction model of author collaboration in bioinformatics research was developed using the abovementioned tools and expert-assigned weights. The calculations and data analysis were carried out using Expert Choice, Excel, Spark, and Scala, and Python programming languages in a big data server. Accordingly, the research was conducted in three phases: 1) identifying and weighting the factors contributing to authors’ similarity measurement; 2) implementing co-authorship prediction model; and 3) integrating the first and second phases (i.e., integrating the weights obtained in the previous phases). The results showed that journal title, citation, article title, author affiliation, keywords, and abstract scored 0.374, 0.374, 0.091, 0.075, 0.055, and 0.031. Moreover, the journal title achieved the highest score in the model for the co-author recommender system. As the data in bibliometric information networks is static, it was proved remarkably effective to use content-based features for similarity measures. So that the recommender system can offer the most suitable collaboration suggestions. It is expected that the model works efficiently in other databases and provides suitable recommendations for author collaborations in other subject areas. By integrating expert opinion and systemic weights, the model can help alleviate the current information overload and facilitate collaborator lookup by authors.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.1.9
Masoume Kiani; Asefeh Asemi; Mozaffar CheshmehSohrabi; Ahmad Shabani
Volume 18, Issue 2 , August 2020, , Pages 229-243
Abstract
In this paper, the opinions of bioinformatics experts were sought to examine the knowledge semantic maps. The research question was whether the mapping of bioinformatics field articles could contribute to the reflection of knowledge map in this field; can knowledge within articles be demonstrated through ...
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In this paper, the opinions of bioinformatics experts were sought to examine the knowledge semantic maps. The research question was whether the mapping of bioinformatics field articles could contribute to the reflection of knowledge map in this field; can knowledge within articles be demonstrated through a knowledge map? The research type was applied and analytical. Data collection was performed in two ways. First, the data were collected from scientific databases by using semantic search software and drawing knowledge maps by the software. Second, Delphi technique was used in two stages in order to obtain the opinion of experts regarding these knowledge semantic maps and co-concepts in bioinformatics field. In this method, first, the co-concepts map of the articles exported by Yewno and the knowledge semantics map were presented to the experts to get their viewpoints. By implementing the Delphi approach, the opinions of experts in examining the application of knowledge semantic maps resulted in the phonological analysis of articles in this field. The analysis results demonstrated that the knowledge map of bioinformatics studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes to the knowledge of this field.
A. Shabani; F. Naderi kharaji; M. R. Abedi
Volume 10, Issue 1 , July 2012, , Pages 1-14
Abstract
This research attempted to study the reading behavior of graduate students in digital environment at University of Isfahan through 2008-2009. Different elements such as types of electronic resources, reading methods, amounts of note taking, amounts of printing and the advantages of using the electronic ...
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This research attempted to study the reading behavior of graduate students in digital environment at University of Isfahan through 2008-2009. Different elements such as types of electronic resources, reading methods, amounts of note taking, amounts of printing and the advantages of using the electronic resources are being discussed. The paper employs descriptive survey research method to answer the questions. Data needed for research was gathered through a researcher-made questionnaire based on the related literature and Liu's questionnaire (2005). The statistical population used in this research consisted of the graduate students of seven departments in University of Isfahan and stratum random sampling was applied. The findings showed that students make use of different types of electronic resources. They tend to take notes from printed material and print electronic resources. They scan when they read from computer monitors. The highest advantage of reading electronic resources is acquiring update information and remote access while the least significant advantage is the ease of reading on the computer screens.
A. Shabani; R. Rezaei Aderyani; M. R. Abedi; F. Naderi
Volume 10, Issue 2 , July 2012, , Pages 117-133
Abstract
Since early 1980s, many empirical studies were carried out to recognize stress syndrome and occupational burnout in the United States libraries; the results indicated that the librarians in other countries are susceptible to these two conditions, as well. The present paper investigates the rate of ...
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Since early 1980s, many empirical studies were carried out to recognize stress syndrome and occupational burnout in the United States libraries; the results indicated that the librarians in other countries are susceptible to these two conditions, as well. The present paper investigates the rate of occupational burnout in librarians of University of Isfahan, and evaluates the educational level, field of study, age, occupational experience, and the position of male and female librarians. The population under study included all the 61 librarians working in the libraries of University of Isfahan. The study was conducted as census. Maslash burnout inventory was handed in to all the librarians, and 57 copies were given back. In order to analyze the data, mean and standard deviation were used for descriptive statistics; also for inductive statistics, we applied t-test and multivariate analysis of variance (MANOVA) using SPSS 16. The results showed that occupational burnout of librarians in University of Isfahan is at a moderate level in terms of intensity and abundance, while it is at a low level considering emotional exhaustion and depersonalization. There is a relationship between some demographic factors such as occupational burnout and gender (abundance of emotional exhaustion), educational level (depersonalization intensity) and field of study (intensity and abundance of emotional exhaustion), whereas there was no relationship between occupational burnout and age, occupational experience, and librarians’ positions. Regarding the obtained results, managers and officials should make appropriate plans to prevent occupational burnout in librarians working in the academic libraries.
R. Saadat; A. Shabani
Volume 9, Issue 1 , July 2011, , Pages 57-74
Abstract
In this research, the citations received by DOAJ’s journals from the ISI Web of Science’s articles in 2003 to 2008 were studied and compared. The citations received by the journals in five fields (Arts & Humanities, Social Sciences, Pure Sciences, Technology & Engineering, and Health & ...
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In this research, the citations received by DOAJ’s journals from the ISI Web of Science’s articles in 2003 to 2008 were studied and compared. The citations received by the journals in five fields (Arts & Humanities, Social Sciences, Pure Sciences, Technology & Engineering, and Health & Medical Sciences) as well as the difference among the citations received by DOAJ’s journals in the above- mentioned five fields were examined. The research method is citation analysis and the research data have been collected by means of Cited Reference Search in the ISI Web of Science. The English-language journals in DOAJ were chosen, and no sampling was used. Findings showed that out of 2953 journals, 321 journals (10.87%) received citations, and the total citations received by these journals were 19050 with the mean of 6.45 per journal; the journals in Pure Sciences received most citations (10116 citations, equal to 53.1%), and the ones in Arts & Humanities received the least citations (701 citations, equal to 3.68%). On the other hand, the findings of Chi-Square test (χ2) indicate that there is a significant difference among the citations in the above-mentioned five fields.
