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This study aims to measure the impact of the selected papers in the field of social sciences indexed in Scopus using altmetrics tools.

The research community consists of the articles of the Iranian researchers in the field of social sciences indexed in the Scopus database in 2014–2018. Some of the most important altmetric service providers have been used to assess the presence of the research outputs in the social media and their impact assessment. Also, the relationship between variables such as scientific collaboration of researchers, open access journals and the quality of research journals with altmetric activity have been investigated through appropriate correlation tests.

The findings indicated that the most important social media publishing Iranian articles are Mendeley, Twitter and Facebook. The results of the correlation test showed a statistically significant positive and weak relationship between the scientific collaboration of researchers and their altmetric activity. Also, there is a significant and weak statistical relation between journal openness and the altmetric scores. In this study, the findings suggest that the published articles in the journals with higher quality indicators have higher altmetric scores and are more likely to be present in social media.

In this study, the social network indicators have been introduced as a solution to examine the effectiveness of research activities on social media. These indicators can be used to evaluate the impact and usefulness of the articles and other scientific outputs with the aim of completing and eliminating the shortcomings of traditional scientometrics indicators. What distinguishes altmetric criteria from other criteria related to the scientometric studies is the speed, ease and transparency of these scales. This allows the publications to be evaluated regardless of their formal form and in the shortest possible time, and in addition to the scientific impact, the social impact of the works is also measured.

The results of these studies show that using altmetric service providers not only reflects the social impact of publications on authors in different subject areas but also helps libraries, universities, research organizations and politicians in planning, budgeting and allocating resources.

This paper aims to assess the impact of research in the field of scientometrics by using the altmetrics (social media metrics) approach.

This is an applied study which uses scientometric and altmetrics methods. The research population consists of the studies and their citations published in the two core journals (Scientometrics and Journal of Informetrics) in a period of five years (included 1,738 papers and 11,504 citations). Collecting and extracting the studies directly was carried from Springer and ScienceDirect databases. The Altmetric Explorer, a service provided by Altmetric.com, was used to collect data on studies from various sources (www.altmetric.com/). The research studies with the altmetric scores were identified (included 830 papers). The altmetric scores represent the quantity and quality of attention that the study has received on social media. The association between altmetric scores and citation indicators was investigated by using correlation tests.

The findings indicated a significant, positive and weak statistical relationship between the number of citations of the studies published in the field of scientometrics and the altmetric scores of these studies, as well as the number of readers of these studies in the two social networks (Mendeley and Citeulike) with the number of their citations. In this study, there was no statistically significant relationship between the number of citations of the studies and the number of readers on Twitter. In sum, the above findings suggest that some social networks and their indices can be representations of the impact of scientific papers, similar citations. However, owing to the weakness of the correlation coefficients, the replacement of these two categories of indicators is not recommended, but it is possible to use the altmetrics indicators as complementary scientometrics indicators in evaluating the impact of research.

Investigating the impact of research on social media can reflect the social impact of research and can also be useful for libraries, universities, and research organizations in planning, budgeting, and resource allocation processes.

The purpose of this paper is to introduce an approach for retrieving a set of scientific articles in the field of Information Technology (IT) from a scientific database such as Web of Science (WoS), to apply scientometrics indices and compare them with other fields.

The authors propose to apply a statistical classification-based approach for extracting IT-related articles. In this approach, first, a probabilistic model is introduced to model the subject IT, using keyphrase extraction techniques. Then, they retrieve IT-related articles from all Iranian papers in WoS, based on a Bayesian classification scheme. Based on the probabilistic IT model, they assign an IT membership probability for each article in the database, and then they retrieve the articles with highest probabilities.

The authors have extracted a set of IT keyphrases, with 1,497 terms through the keyphrase extraction process, for the probabilistic model. They have evaluated the proposed retrieval approach with two approaches: the query-based approach in which the articles are retrieved from WoS using a set of queries composed of limited IT keywords, and the research area-based approach which is based on retrieving the articles using WoS categorizations and research areas. The evaluation and comparison results show that the proposed approach is able to generate more accurate results while retrieving more articles related to IT.

Although this research is limited to the IT subject, it can be generalized for any subject as well. However, for multidisciplinary topics such as IT, special attention should be given to the keyphrase extraction phase. In this research, bigram model is used; however, one can extend it to tri-gram as well.

This paper introduces an integrated approach for retrieving IT-related documents from a collection of scientific documents. The approach has two main phases: building a model for representing topic IT, and retrieving documents based on the model. The model, based on a set of keyphrases, extracted from a collection of IT articles. However, the extraction technique does not rely on Term Frequency-Inverse Document Frequency, since almost all of the articles in the collection share a set of same keyphrases. In addition, a probabilistic membership score is defined to retrieve the IT articles from a collection of scientific articles.

The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics.

This is an applied study using scientometrics, co-word analysis and network analysis and its steps are summarised as follows: collecting the data related to the Informetrics field indexed in Web of Science (WOS) database, refining and standardising the keywords of the extracted articles from WOS and preparing a selected list of these keywords, drawing the word co-occurrence map in the Informetrics field and analysing of results.

Based on the resulted maps the concepts such as information science, library, bibliometric analysis, innovation and text mining are the most widely used topics in the field of Informetrics. The co-word occurrence maps drawn at different periods show the changes and stabilities in the concepts related to the field of Informetrics. A number of topics such as “bibliometric analysis” are present in all years, whereas others such as “innovation” have disappeared. New topics emerge as a recombination of existing topics and in interaction with new (technological) developments.

The results of these analytical studies can be used as a guide for determining research priorities in the scientific fields, and also for planning and management in academic institutions.

The purpose of this paper is to examine the application of geographic information systems as a decision support system in analyzing geospatial data in the databases of an academic library.

In this study, after separation, the data on control, classification and coding of the geospatial information existing in an academic library's databases were entered into a geographic information system. Then, using the ArcGIS software and its program (ArcMap), the data were shown, described and analyzed based on existing needs and various indicators.

After performing various stages of this research, the geographic information system indicates a range of features as follows: display and localization of the research done on different maps; providing a variety of descriptive information on the features available on the system maps; data analysis and evaluation, based on existing needs and various indicators such as research location, university conducting research, date of research, educational course, etc.; evaluation and comparison of universities and research centers with one another in terms of spatial distribution of their scientific geospatial information; performing various calculations to determine and analyze the spatial relationships of data, for example determining distance of research location from the university; and the possibility of reporting a variety of attribute and spatial information of the system.

By using the analysis functions of the system and other logical and various applications, the database can be prepared to answer the questions raised by the users and the results will be very valuable in the process of decision making and planning in academic libraries and research centers.

The purpose of this research is to investigate the interdisciplinary relations in some high‐priority fields of science and technology based on ISI data.

This is an applied study using scientometric, citation analysis and network analysis methods. The study population consists of scientific articles of Iranian researchers in five fields that have been indexed in “WOS” database. These fields are included nanotechnology, biophysics, nuclear physics, sociology and communication. After identifying and extracting data from “WOS” (included 1,777 records), in order to determine the interdisciplinary relations and the evolution of these relationships, the citations of these records (41,080 citations) have been extracted and analysed.

The results indicate all the studied scientific fields have self‐citation and other‐citation. Depending on the type of field, the rate of intra‐disciplinary and extra‐disciplinary citations is various. There is a positive correlation between co‐authorship and interdisciplinary approach in all the studied fields. There is no significant relation between the number of citations and interdisciplinary approach. Overall, the results showed the use of only a bibliographic method cannot specify all aspects of interdisciplinarity of the scientific field. Simultaneous use of different analysis methods such as citation analysis, co‐authorship analysis and bibliographic coupling is necessary in order to data exchange between fields.

The analysis and mapping of interdisciplinary relations in a scientific field can provide useful information regarding connectivity and interdependence among areas. Through such studies, the status of cooperation between disciplines and the evolutionary trend of it is well defined. The results of these studies would also be useful in developing the interdisciplinary collaboration among professionals and understanding their information needs and plan to meet these needs.

This article seeks to demonstrate the use of geographical information system (GIS) in cataloging of documents, such as earthquake related documents.

This research was descriptive‐analytic and its steps are summarized as follows: collecting the data, entering information into the GIS, system management and finally producing outputs.

The investigative result shows that: by using of GIS, all types of data available in the various databases can be illustrated, analyzed and reviewed simultaneously and easily. Furthermore, data geographical dispersion can be easily studied and the geographic positions from the view point of earthquake and other related issues have been studied, identified and introduced to the users for doing studies.

There are numerous implications for current and future use of GIS in cataloging of documents. In addition to updating and editing functions, access to available data could be tailored to the various requirements of the users.

The system not only provides a tool for spotting numerous capabilities and potential but is also useful for identifying research gaps in different geographic regions.

The purpose of this paper is to provide a report on the application of a Geographic Information System (GIS), ArcInfo, in the cataloguing of geosciences documents held by IRANDOC.

The steps involved in the application are described: gathering the data and required input including the attribute and spatial information; pre‐processing the information; managing and analysing the data; producing outputs.

This research resulted in establishing a complete and comprehensive database of the geosciences, illustrating, analysing and reviewing all types of data available in the various databases of IRANDOC (geosciences related) simultaneously and easily.

Although this investigation concentrates on very specific documents (the geosciences documents held by IRANDOC), its findings and the presented model of the plan can be generalised to collections of information related to the spatial position in some other areas.

In addition to quick and correct access to the data required in abundant volume, the spatial and subject data can be depicted in the forms of maps, tables and diagrams and also can be edited, updated and used in various ways. Also the way can be paved for identification and introduction of the various similar systems in different geographical areas.

This editorial aims to discuss how technology has transformed the cultural map for libraries so that experiences in Taiwan, Iran, India, Greece, or New Zealand are relevant anywhere in the developed world.

The methodology draws heavily on cultural anthropology in looking at the cultural context and its changes over time.

Four sets of shared problems emerge in these articles: technology applications to solve specific library problems, user studies, cataloging issues, and electronic publishing. These are topics that librarians discuss around the world.

It is a commonplace today that technology has tended to equalize widely separated parts of the world. This is obviously true in terms of consumer goods, but appears to be less well accepted in terms of scholarly endeavor. The international and intellectual breadth of this issue can be seen as something to celebrate.

There are various online library databases available to access, but none of them include a geographic search option. The purpose of this study is to discover a suitable solution to solve this problem. To access information, it is critical to search using the geographic locations available in bibliographic databases. Geographic search functionality is available in Web-scale discovery system and services.

The approach and methods for incorporating geographic search capabilities into VuFind open source discovery software for suitable and appropriate information resource discovery among users are straightforward. Library mash-up tools and techniques were integrated by using geographic locations into a Web-scale library discovery system.

As a result, bibliographic metadata descriptions help all library users to identify and access documents more quickly and easily. It can assist users and librarians in making better use of library resources by integrating various databases with VuFind and by providing them in a single window-based interface. This system has developed a standardised geographic search architecture, and it is entirely based on the Ubuntu operating system. Furthermore, the 034 MARC 21 tag will be adjusted using the latitude and longitude website.

Web-scale library services are provided by OCLC WorldCat Discovery Services, Summon Web-scale Discovery, EBSCO Discovery Services, Primo Central and others. This Web-scale discovery services platform relies heavily on geographic search interface functionalities.