Characteristics of Classic Papers of Library and Information Science: A Scientometric Study

Classic papers are novel facilities of Google scholar. These papers were first developed by Google scholar in May 2017. Classic papers have been considered highly cited papers since last 10 years. Effective authors, institutions, universities, and countries on improving science can be identified by analyzing the papers. Therefore, this study aims to examine characteristics of classic papers of Library and Information Science (LIS). This study will use Scientometrics indicators. The study sample includes LIS classic papers. To gather the data, some databases such as Google scholar, Web of Science, and Scopus are applied. Excel and SPSS applications are used for descriptive and statistical analyses. The study data indicate that Scientometrics journal covers most classic papers on LIS (5 papers). 60% of the papers are written by more than one author. A paper of “Usage Pattern of Collaborating Tagging System” is highly cited paper of LIS with 3051 and 1308 citations on Google scholar and Scopus respectively. Analysis of authors’ affiliation shows that American universities and institutions play considerable role in LIS classic papers. The data of statistical tests indicate that there is a positive significant correlation between citations of classic papers of Google scholar, Scopus and Web of Science

A Comparison of the Conditions of Iran Public Libraries with the IFLA Standards

This study aimed to compare the conditions of the public libraries in Iran with the standards of IFLA. Iran is a country in the southwest of Asia. With 1,648,669 square kilometers, it is the 18th country in the world and has a population of 79,926,270. There are more than 3000 public libraries in Iran. Under Iran’s law, the Iran public libraries Foundation, which is a non-governmental entity, is responsible for the task of establishing, constructing, equipping, developing, managing, and monitoring the public libraries across the country. In this study, the five indicators of resources, Stack space, the space of the reading hall and public library staff are compared with the IFLA standards to determine the difference between the current conditions and the standards. The methodology of the research is comparative. Data collection instrument is a checklist, based on which the number of public libraries in different indices will be extracted and compared with IFLA standards. This study presents a clear portrait of the conditions of public libraries in a country and can be a model for other developing countries to compare the conditions of public libraries with IFLA standards. Presenting this article and sharing its results, the authors also hope to benefit from the opinions of other expert participants for the further improvement of public library activities

Characteristics of Classic Papers of Library and Information Science: A Scientometric Study

Abstract Classic papers are novel facilities of Google scholar. These papers were first developed by Google scholar in May 2017. Classic papers have been considered highly cited papers since last 10 years. Effective authors, institutions, universities, and countries on improving science can be identified by analyzing the papers. Therefore, this study aims to examine characteristics of classic papers of Library and Information Science (LIS). This study will use Scientometrics indicators. The study sample includes LIS classic papers. To gather the data, some databases such as Google scholar, Web of Science, and Scopus are applied. Excel and SPSS applications are used for descriptive and statistical analyses. The study data indicate that Scientometrics journal covers most classic papers on LIS (5 papers). 60% of the papers are written by more than one author. A paper of “Usage Pattern of Collaborating Tagging System” is highly cited paper of LIS with 3051 and 1308 citations on Google scholar and Scopus respectively. Analysis of authors’ affiliation shows that American universities and institutions play considerable role in LIS classic papers. The data of statistical tests indicate that there is a positive significant correlation between citations of classic papers of Google scholar, Scopus and Web of Science

Intrapreneurship in Public Libraries: An Exploratory and Confirmatory Factor Analysis

Abstract This study aims to identify, analyze and explain the factors influencing Intrapreneurship of public libraries. It is applied in terms of the purpose, and quantitative in terms of the method used. Confirmatory factor analysis and exploratory factor analysis techniques were also used in this study. The statistical population consisted of all employees working in Iranian public libraries; and data collection tool was a questionnaire. Based on the results of factor analysis, three factors with high eigenvalues were extracted and then named Encouraging and rewarding system , Education and research system and Organizational structure . Three extracted factors explained a total of 62.82 percent of the variance in organizational factors influencing Intrapreneurship of public libraries. Managers and policy makers in public libraries can use the results of this study to convert the public libraries to the entrepreneurial and innovative organizations

A Bibliometric Analysis and Visualization of the Scientific Publications of Universities: A Study of Hamadan University of Medical Sciences during 1992-2018

The evaluation of universities from different perspectives is important for their scientific development. Analyzing the scientific papers of a university under the bibliometric approach is one main evaluative approach. The aim of this study was to conduct a bibliometric analysis and visualization of papers published by Hamadan University of Medical Science (HUMS), Iran, during 1992-2018. This study used bibliometric and visualization techniques. Scopus database was used for data collection. 3753 papers were retrieved by applying Affiliation Search in Scopus advanced search section. Excel and VOSviewer software packages were used for data analysis and bibliometric indicator extraction. An increasing trend was seen in the numbers of HUMS's published papers and received citations. The highest rate of collaboration in national level was with Tehran University of Medical Sciences. Internationally, HUMS's researchers had the highest collaboration with the authors from the United States, the United Kingdom and Switzerland, respectively. All highly-cited papers were published in high level Q1 journals. Term clustering demonstrated four main clusters: epidemiological studies, laboratory studies, pharmacological studies, and microbiological studies. The results of this study can be beneficial to the policy-makers of this university. In addition, researchers and bibliometricians can use this study as a pattern for studying and visualizing the bibliometric indicators of other universities and research institutions

Bibliotheraphy Among Psychologists: Familiarity, Aattitude and Use

Introduction: Bibliotherapy is a low-cost and safe way to treat mental health problems. Given that the success of bibliotherapy depends on the positive attitude and familiarity of those involved in this therapy method, this study aims to investigate the familiarity, attitude, and use of bibliotherapy by psychologists working in counseling centers and the barriers and limitations in using bibliotherapy. Methods: In this practical research, conducted using an analytic survey method in 2020, 101 psychologists working in counseling centers in Hamadan province, Iran, were selected by the census. The survey response rate was 100 %. All data for this study were collected using a researcher-made questionnaire. Its reliability (using the indicator of Cronbach's alpha) and validity (using two indicators of CVI and CVR) were confirmed. The data were analyzed using SPSS software version 25 using frequency distribution, Mann-Whitney, Chi-square, and Kruskal-Wallis tests. Results: The results showed that more than half of the participants (53.5%) were moderately familiar with the bibliotherapy, and their level of familiarity was less than average; more than half of the participants (55.4%) used moderate bibliotherapy to treat their patient's problems, and their use rate was low to medium levels. However, psychologists' attitudes toward bibliotherapy are positive and higher than average. Conclusion: Despite bibliotherapy's effectiveness and psychologists' favorable view of it, awareness and utilization remain low, highlighting the need for strategies to enhance the adoption of this therapeutic approach

Top Ten Journals Publishing on COVID-19: A Scientometric Analysis

Objectives: This study aimed at identifying and visualizing the scientometric indicators of top ten highly productive journals publishing documents on topics related to COVID-19. Methods: on April 4, 2021, using 36 COVID-19 keywords derived from MeSH retrieved all relevant global publications indexed in Scopus. Then, all studies were limited to top 10 highly productive journals in this field. An Exploratory and descriptive analysis of bibliographic data (number of publication/citations, journals, highly cited documents, highly cited/productive authors/countries, co-occurrence map of keywords, and co-citation map of sources) by using Microsoft Excel and VOSviewer software packages were performed. Results: The top ranked journals in publication numbers belonged to the International Journal of Environmental Research and Public Health (N=1304, 16.2%), Plos One (N=1158, 14.4%) and BMJ (997, 12.4%), respectively. The Lancet (N=69983), JAMA (N=42553) and the Journal of Medical Virology (19089) ranked first to third as to received citation numbers, respectively. Mahase, E (N=180, 2.23%), Lacobucci, G (N=126, 1.56%) and Rimmer, A (N=82, 1.01%) were ranked first to third as highly-productive authors, respectively. However, the highest-ranked authors in their citations/document indicator were Cheng, Z (3691), Gu, X (2736.25) and Xia, J (2269.66), respectively. First to third ranked countries in receiving citations were China (94776), United States (51621) and United Kingdom (32339), respectively.  Out of top 10 contributing countries in producing documents, United States (1976; 24.5%), United Kingdom (1372; 17%) and China (894; 11.1%) ranked first to third, respectively. Keywords co-occurrence and clustering showed that clinical manifestation and dissemination of the disease as well as its epidemiology have been heavily considered.  Discussion: This study offers important quantitative information on journals working on the disease. Identifying most productive journals can help potential researchers collaborate with researchers from pioneering journals and contribute to top journals for making influential works on COVID-19 and consequent knowledge on the control and treatment of the disease

Knowledge Translation in Universities: An Experience from Iran

Background: Knowledge translation meaning all processes of knowledge creation, knowledge transfer, and decision-makers’ use of research results, the gap between knowledge and its use is a challenge that knowledge translators can address. Objectives: The present study aimed to investigate the status of knowledge translation among faculty members of Hamadan University of Medical Sciences, Iran. Methods: In this survey study, a structured questionnaire was used. The study population consisted of 457 faculty members of Hamadan University of Medical Sciences, Iran. Using Krejcie and Morgan table, 208 individuals were selected as the sample. Data were analyzed by Stata software at the significant level of 0.05. Independent t-test and one-way variance analysis were used for investigating the relationship between demographic variables and knowledge translation variables including knowledge creation, knowledge transfer, research utilization, and Research question transfer. Results: The results showed that the interest was the top priority of faculty members in selecting the research subject. Among the four domains of knowledge translation activities, knowledge transfer had the highest score and knowledge production had the lowest score. Results of statistical tests showed that there is significant relationship between knowledge production score and gender (P = 0.004), knowledge transfer score and gender (P = 0.024), and education level (P \u3c0.001), score of evidence use promotion and gender (P = 0.001) and level of education (P = 0.04). In addition, the findings showed that the status of knowledge translation in Hamadan University of Medical Sciences, Iran is relatively favorable. The pursuit of encouraging work and policies as well as increased collaboration among expert groups to transfer research findings can reduce the gap between knowledge and practice. Contributions: The results of this study as an Iranian experience can be a model for evaluating the use of research knowledge for other universities

A Bibliometric Analysis of International Journal of Nursing Studies (1963 – 2018)

Purpose- This study set to present a general overview of the International Journal of Nursing Studies (IJNS) from 1963 to 2018 using bibliometric indicators to assess its performance. Design/methodology/approach- This study is a bibliometric analysis. The articles of the IJNS were analyzed. Scopus database was used for collecting articles. Excel software was used to analyze the process of publishing journal articles, identify top countries, institutes, and authors and extract highly cited articles in the journal. The visualization of the keywords in the articles published in the journal was done using the VOSviewer software. Findings- The results of the bibliometric analysis showed that the United Kingdom with 966 papers, King\u27s College London with 130 papers and Bergman R with 25 papers were the most productive and influential countries, universities, and authors contributing to the IJNS. The paper of Keeney S. (2001), entitled A critical review of the Delphi technique as a research methodology for nursing , was the most highly cited article in the IJNS from the beginning of 1963 to the end of 2018. The clustering of published keywords suggests that psychometric and nursing care issues are emerging journal clusters added to the journal in the last two decades. Conclusion- The evolution process of the IJNS is positive and growing. This Journal has attracted much attention from researchers and authors around the world as a pioneer and leading journalist in the field of nursing. Originality/value- This is the first comprehensive study offering a bibliometric overview of the leading trends of the IJNS over its history

Highly Cited Papers in Library and Information Science Field in the Web of Science from 1983 to 2018: A Bibliometric Study

Abstract This bibliometric study set out to evaluate and analyze highly cited papers in Library and Information Science field (LIS) in the Web of Science database from 1983 to 2018. In this bibliometric study, the required data were extracted from the Web of Science database. First, all documents under the rubric of LIS subject area, including 366,756 documents, were retrieved. The search was then limited to the highly cited papers. Of these papers, 433 ones were in the top-1% percentile rank. Finally, after the bibliometric data of the highly cited papers were extracted in plain text format, Excel and VOSviewer software were run to analyze the obtained data. The results showed that the Highly cited papers in LIS (433 ones) were published in the period 2009 to 2018. The highest number of highly cited papers belonged to 2014 (57 articles) and the subject area was Computer Science Information Systems (239 papers). Moreover, Thelwall, the University of Maryland, the United States, and Journal of the American Medical Informatics Association were the top authors, universities, countries, and journals for publishing LIS highly cited articles, respectively. The co-authorship map revealed that Thelwall, M, ranked first with eight co-authorships. In addition, Haustein, S with 6 co-authorships and Lariviere, V with 5 co-authorships were in second and third places, respectively. In addition, the co-authorship map of the countries publishing the Highly cited papers in LIS showed that the most papers were co-authored by the United States and China (link strength = 24). The results of most frequent keyword visualization indicated that in the last five years, concepts such as bibliometrics, altmetrics, social media, information systems, meta-analysis, electronic health record, social networking sites, and big data have been the most important keywords in Highly cited papers in LIS