Abdolhossein Farajpahlou; Farideh Osareh; Mostafa Fakhrahmad; Leila Dehghani
Abstract
Introduction: Although the concept of facet analysis has a long background in the classification and information retrieval systems, the use of facet analysis approach in the current information retrieval systems is associated with drawbacks. One of these drawbacks is the lack of proper attention to the ...
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Introduction: Although the concept of facet analysis has a long background in the classification and information retrieval systems, the use of facet analysis approach in the current information retrieval systems is associated with drawbacks. One of these drawbacks is the lack of proper attention to the user as the main stakeholder of the system. In this study, a method is presented for appropriate facet extraction in the modern information retrieval systems.Methods: In order to perceive the need of users and achieve the facets of gynecology and obstetrics, the contractual content analysis method was employed with a qualitative approach. First, the informational needs of the user group were identified after interviewing 14 specialists in the fields of midwifery and gynecology and obstetrics. Then, the informational needs were classified with the help of specialists in the subject area and a facet was attributed to each stage. An expert group consisting of eight subject-area specialists and eight specialists in knowledge and information science evaluated the efficiency of the facets extracted; this way, the agreement was evaluated based on the total agreement formula.Results: Based on the codes extracted from the interviews related to determining the information needs of stakeholders in the domains of gynecology and obstetrics, 23 facets were identified, 9 of which being identified as proper facets, including age groups, organ, therapeutics, diagnosis, disease, symptoms or finding, risk factor, complication, and prognosis by the experts through receiving a coefficient of agreement above 80%.Conclusion: Facet extraction of the information retrieval systems based on the user-oriented approach converts the facets from general to specialized states. In this case, the facets are different for the users of each specialized domain in the user interface; thus, the specialized user interfaces would be formed.
Farideh Osareh; Shahnaz Khademizadeh; Sedigheh Torfipour
Abstract
Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence ...
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Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence analysis in the Clarivate Analytics Web of Science Database.Methods: This study was conducted using scientometric method. The research population consisted of 14186 autism-related records published between the years 2010 and 2017 at the Clarivate Analytics Web of Science Database. The data were analyzed using social network analysis method.Results: The words “ability, malformations, syndrome, disorder, phenotype, and neurons” were the main vocabulary in the domain of autism spectrum disorder. These words also received the highest score in terms of centrality factors. Furthermore, in terms of macro-indicators, the domain of autism was coherent. In this area, the United States, the United Kingdom, and Canada had produced more records compared to other countries. The universities of California, London, and Harvard had also been the most productive universities in the international arena. Among Iranian universities, Tehran University of Medical Sciences, Islamic Azad University, and Shahid Beheshti University of Medical Sciences had more publications compared to other universities. Among the top researchers in terms of number of international productions "Zwaigenbaum L.", "Matson JL." and "Gillberg C." and among Iranian researchers "Memari A", "Mashayedi P", and "Ahmadloo M" had the best works.Conclusion: The information extracted from lexical co-occurrence map can help to improve policy-making in scientific fields. In this map, each word or group of words represents a particular area. Therefore, these maps can be used to make efficient decisions regarding resource allocation and distribution. Furthermore, these maps can help researchers get acquainted with new topics and top researchers in each field.
Farideh Osareh; Mohammad Tavakolizadeh-Ravari; Zahed Bigdeli; Roghayeh Ghazavi
Abstract
Introduction: One problem in conducting scientometric thematic analysis is selecting which of the bibliographic fields containing the topics can be analyzed. This study aimed to compare subject fields of documents to determine the field or a combination of fields which are suitable for conducting a complete ...
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Introduction: One problem in conducting scientometric thematic analysis is selecting which of the bibliographic fields containing the topics can be analyzed. This study aimed to compare subject fields of documents to determine the field or a combination of fields which are suitable for conducting a complete and proper thematic analysis in scientometrics.Methods: This was a descriptive research with content analysis approach. Scientific products in the field of functional gastrointestinal disorders were extracted from the Scopus database. The analysis was done on 13798 documents, which included title, author keywords, and index keywords. After clustering using the K-Means method, and calculating the inclusion index for created clusters, the similarity of keywords between the three fields was determined.Results: There was a high similarity between the index and the author keywords (87.71 and 85.71). The low amount of the index in the title field and the index keywords (0) also suggested that there was little similarity between the controlled vocabulary and the keywords used by the authors in the title, and that authors did not use the preferred vocabulary in the title.Conclusion: Using the words of the title field will show the results of the natural language analysis. However, if the purpose of a study is categorizing terms, the use of index keywords field will be the most appropriate.
Saeid shirshahi; Farideh Osareh; GholamReza Haidari; Nahid loni
Volume 11, Issue 7 , December 2014, , Pages 830-839
Abstract
Introduction: One of the most important quantitative methods and research method in library and information sciences is scientometrics which has markedly developed over the last four decades. The purpose of this study was to map the structure of surgery discipline in Science Citation Index ...
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Introduction: One of the most important quantitative methods and research method in library and information sciences is scientometrics which has markedly developed over the last four decades. The purpose of this study was to map the structure of surgery discipline in Science Citation Index (SCI), during the period 2000 to 2010. Methods: This paper is descriptive - analytical and using scientometric techniques. The number of records is 83426. This study is based on bibliographic data retrieved from the Web of Science (gathering tools). The data contain all types of documents published in surgery between 2000 and 2010. The records are processed by HistCite, Pajek and VOSviewer in order to generate chronological and other tables as well as historiographs which highlight the most-cited works in and outside the collection. Results: USA had the greatest publishing, i.e. 24,533 (29.41%) documents; also, The status of research in Iran has been compared with other world and Middle East countries that Iran, with 0.34% rating is the 33rd in the world and the 3rd in the Middle East. Regarding their subject area, most of the articles, i.e. 34.85% documents, dealt with “surgery”. As for their source of publication, 14.68% articles had been published in the CARDIOVASCULAR SYSTEM CARDIOLOGY. Conclusion: it is noteworthy that, In order to improve Surgery scientific publications of Iranian universities and research centers, appropriate policies should be developed while being continuously monitored by Iranian Ministry Science and Health and universities research policy makers. Also, surgery Scientists of our country should have paid more attention to the field of laparoscopy. Keywords: Scientometrics; Surgery; Databases
Seyed Hossein Mirjalili; Farideh Osareh
Volume 9, Issue 1 , March and April 2012
Abstract
Background: The quantitative analysis of scientific output, scientific policy making, scientific relationships of researchers, and drawing historiographic outlines are all parts of scientometric discipline. This paper was designed for scientometric analysis of 20 top journals in the field of genetics ...
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Background: The quantitative analysis of scientific output, scientific policy making, scientific relationships of researchers, and drawing historiographic outlines are all parts of scientometric discipline. This paper was designed for scientometric analysis of 20 top journals in the field of genetics and heredity in 2000-2008 and to map the scientific structure of their papers. Methods: This research utilized scientometric methods and procedures to analyze the data from 28813 papers published in 20 journals in the field of genetics and heredity with a minimum impact factor of 5 during the past 5 years. The Web of Science database was used to collect the data and HistCite™ was used to draw the historiographic outline. Results: All papers, except for 2, have been published in English. The United States, with 56.7% of all published papers, came first while Britain, Germany, France, and Japan stood the second to the fifth, respectively with a large gap. Harvard University was the most active organization in this field by publishing 1121 papers. Of the first 30 organizations, 25 were American. Moreover, 63.5% of the citations were from papers with at least one American author. Although the papers used in this study have been cited 1124511 times internationally, only 7.27% of the citations belonged to the 20 journals evaluated in this study. Cooperation had a rising trend amongst authors and the average number of co-authors increased from 6.03 in 2000 to 8.05 in 2008.The scientific outline drawn based on the top 144 papers within this discipline showed that 4 clusters had been formed during 2000-2008 of which 2 clusters covered human genetics diversity and its various sub disciplines. The other two clusters covered bioinformatics or software and database applications and utilizing advanced statistical methods in analyzing data in this field. Conclusion: The cooperation amongst researchers in publishing papers was high and increasing. The scientists in the field of genetics covered a vast number of papers in their literature review which relied extensively on old and historical publications. Bioinformatics and statistical methods were also found to be of great importance in this field. Keywords: Periodicals; Databases; Genetics; Heredity; Citation.
Afshin Hamdipour; Farideh Osareh
Volume 8, Issue 5 , November and December 2011
Abstract
Introduction: The purpose of this study was to visualize the scientific structure of multiple sclerosis (MS) during 1999-2008 and to use scientometric indicators for analysis of MS-related scientific publications indexed in Web of Science Database. Methods: This survey tried to visualize data as a scientometric ...
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Introduction: The purpose of this study was to visualize the scientific structure of multiple sclerosis (MS) during 1999-2008 and to use scientometric indicators for analysis of MS-related scientific publications indexed in Web of Science Database. Methods: This survey tried to visualize data as a scientometric method. A total number of 17737 MS-related articles published during 1999-2008 were extracted from Web of Science Database and saved as text files on personal computers. The files were then analyzed by ISI.exe, Microsoft Excel and HistCite. Results: The highest number of the extracted articles was published in 2008 (12.85%). The articles published have been in 17 languages, with English possessing the highest proportion (94.63%). Authors' collaboration coefficient (CC) raised from 0.71 in 1999 to 0.76 in 2008. Articles with 2 to 6 authors had the highest frequency (60.6%). According to Lotka's law, more than 70% of authors (8824 author) have published one article while a small number (n = 64) have published 10 to 40 articles. About 10 universities and institutions (15.63%) participated in the production of 15.63% of articles. Harvard University produced 2.41% of the publications and stood the first. The United States produced 6370 articles (36%) and ranked the first and the United Kingdom, Germany and Italy ranked the second to the fourth, respectively. Mean number of citations among the 100 effective articles was 324. Conclusion: The results showed that 95% of the articles have been published in English. Despite the participation of different countries in the production of articles, more than one third of articles have been produced in the United States. According to the results, 10 countries have published more than 97% of the articles and Harvard University had the highest frequency. Ten journals have published 4845 article (27.30%). Lotka's law was confirmed and the collaboration coefficient (CC) was equal to 0.739 which indicates the growing trend of cooperation. Finally, by HistCite was used to draw the scientific map based on which effective authors and thematic clusters were determined. Keywords: Scientometric; Multiple Sclerosis Disease; Information Visualization.
