KONSERVASI HUTAN PADA JURNAL BIOLOGI INDONESIA PERIODE 2010-2020: SEBUAH STUDI BIBLIOMETRIK

A bibliometric analysis was carried out on the Indonesian Biology Journal for the period 2010 – 2020, with the aim of knowing 1) the distribution of keywords to see the description of the research published in the Indonesian Biology Journal 2010-2020; 2) article classification; 3) distribution of articles by year; 4) distribution of articles by issue number; 5) authorship pattern; 6) the most prolific writer; 7) affiliations of authors who contribute to the Indonesian Biology Journal; 8) the type of document used as a reference in the Indonesian Biology Journal 2010-2020. The bibliometric method was used, and the data was taken from the Indonesian Biology Journal from 2010 to 2020, which was downloaded via the address https://e-journal.biologi.lipi.go.id/index.php/jurnal_biologi_indonesia. Furthermore, the analysis of the distribution of articles based on keywords, distribution of class numbers, distribution of articles by year, distribution of articles by number of publications, pattern of authorship, most productive authors, pattern of authorship affiliation was carried out. Based on the results and discussion, it can be concluded that during 2010-2020, 315 article titles have been published and there are 1,343 keywords. Of the 50 most keywords, the keyword Biodiversity often appears 21 times (1.56%) then Genetic variation and Wildlife conservation each 20 times (1.48%), then Animal population 18 times (1.34 %), followed by Plant conservation 17 times (1.19%) and Animal conservation 16 times (1.19%). Next is Feeds and Plant growth substances each with 15 (1.11%), then In vitro culture and Plant diversity each with 14 (1.04%). Next, Vegetation is 13 (0.90%), followed by Habitat conservation and Plant species, each with 11 (0.82%). On the order of 50 keywords Drought resistance, with a total of 4 (0.29%). The highest class is class 635 with a frequency of 35 (11.11%). Articles written by a single author (71 titles; 22.54%) and articles written by collaboration (244 titles; 77.46%). the least number of articles published is in 2020, which is 1 article title (3,17). For issue number 1 starting from volume 6 to volume 16, 164 article titles have been published (52.06%). As for number 2 with the same volume, there were 151 article titles (47.94%). The most prolific writer is Hellen Kurniati with 13 writings, followed by Wartika Rosa Farida with 12 writings and then Witjaksono with 11 writings. Then Andri Permata Sari, Niken Tunjung Murti Pratiwi, NLP. Indi Dharmayanti, Tri Muji Ermayanti with 10 each, followed by Didik Widyatmoko and Risa Indriani with 9 each, Atit Kanti and Yopi with 7 each and Dwi Astuti, Eko Sulistyadi, Ibnu Maryanto, Inna Puspa Ayu each. 6 posts. LIPI is the first institution that contributes the most articles, with a frequency of 260 times. It is known that 7,354 document titles are used as references and the journal is in the first order of cited documents, with 4,591 titles (62.42%).

Webology: An Analysis of Citation Pattern

Efforts were made to analyze 5807 citations of Webology published during 2004 to 2019. The citations were classified on the basis of type of material which clearly indicates that periodicals and web resources were the most popular type of resources used by the authors for writing research papers. The study found that out of 5807 citations 2580 citations were authored by the single author and single authorship pattern was found as the most popular authorship pattern among the authors. The study founds the two oldest citations were from the books which were published before 1900. The findings of the study show the notable change in the use of type of resources being used for writing the research papers. The results of the study shoes that use the of periodicals and web resources for writing research papers was increased from 1951 and onward. The study also presented the list of the twenty five highly cited journals, ten highly cited authors, fifteen highly cited web links and five highly cited books.

Highly cited articles in social sciences: an analytical study

Purpose This paper aims at analyzing the distinctive characteristics of highly cited articles (HCAs) in the domain of Social Sciences with respect to chronological growth pattern, productive journals, authorship pattern, prolific authors, top institutions and leading countries, network among institutions and top ranked keywords in social science research. Design/methodology/approach The required data has been retrieved from Scopus indexing database and further refined using various limits like document types, subject coverage and total citations, and finally, 839 articles were selected for detail analysis. A set of bibliometric indicators were used to make a quantitative analysis, whereas VOSviewer software tool was used to visualize the institutional network and keywords mapping of the HCAs. Findings This study revealed that highest number of HCAs (371) were published during the decade 2001–2010. Degree of collaboration, collaborative index and collaborative coefficient were observed to be 0.513, 1.98 and 0.988, respectively. The highly cited papers were emanated from 397 journals, contributed by 1,556 authors from 1,326 institutions placed in 46 countries. Social Science and Medicine was the most productive journal; J. Urry of Lancaster University, UK, was the most influential author; the USA, the UK and Canada are the torchbearers in social science research. The paper entitled “Five misunderstandings about case-study research,” authored by B. Flyvbjerg, published in 2006 in Qualitative Inquiry, received highest 4,730 citations. Originality/value The primary value of this paper lies in extending an understanding of the characteristics of HCAs in the domain of social sciences. It will provide an insight to the researchers to get acquainted with the most influential authors, journals, institutions, countries and major thrust areas of research in social sciences.

Mapping of Celiac Disease Research Literature: A Scientometric Approach

The study aims to evaluate the celiac disease research publications in the Web of Science database from the years 2015 to 2018. The keyword used the term "Celiac Disease" from the Web of Science database collects the records. A total of 4147 records were collected from this study of Celiac disease. The highest productive year is 2017 with 1062 records (25.61%) and the last position of papers was published 1016(24.50%) in the year is 2016. The table provides the value of the average RGR of publications, which decreased from 6.93537 in 2015 to -0.01997 in 2018. At the same time, the value of doubling time (DT) of publications increased from 0.099923 (2015) to -34.6983 (2018). It has shown that the degree of collaboration range from zero to 0.95. The most prolific author Lebwohl B occupied in first position 107(2.58%) records. The most productive country USA placed in the topmost position with 1149(27.71%) records. The authorship pattern of celiac disease research this table notes that the majority of the articles were contributed by four authors 549(13.24%). These three authors were contributed 538(12.97%) second position of papers in this study. The first position of the journal is Gastroenterology published records with 260(6.27%). The language-wise distributions of published records in Celiac disease research in this present study. The most productive language is English with 4032(97.23%), and the last productivity language is Icelandic with 1(0.02%) publications. The Study concludes that Celiac Disease Research lags in this research, so come forward with financial institutions to encourage researchers and scientists to develop celiac research.

Autism spectrum disorder in architecture perspective: a review of the literature and bibliometric assessment of research indexed in Web of Science

Purpose: The primary objective of this research paper was to explore the current state-of-the-art research on autism spectrum disorder from a designer's perspective. An increasing number of scholarly publications in this discipline have urged researcher interest in this topic; however, there is still a lack of quantitative analysis. Therefore, this paper aims to analyze global research output on autism spectrum disorder from a designer's perspective during 1992–2021. Methodology: A bibliometric method was employed to analyze the published literature from 1992–2021. 812 papers were downloaded from the Web of Science core collection for analysis focused on annual growth of literature, prolific authors, authorship pattern, productive organizations, countries, international collaboration, literature trends by keyword analysis, and identifying the funding agencies. Various bibliometrics and scientometrics software were used to analyze the data, namely Bibexcel, Biblioshiny, and VOS viewer. Results: There were 812 research papers published in 405 sources during 1992–2021. 2019 was noted as the most productive year (NP=101), and 2014 received the highest number of citations (TC=6634). Researchers preferred to publish as journal articles (NP=538; TC=24922). The University of Toronto, Canada, was identified as a productive institution with 42 publications and 5358 citations. The USA was the leading producing country with 433 publications, and most of the researchers publish their work in the journal "Scientific Reports" (NP=16). The word "autism" (NP=257) and "architecture" (NP=165) were the most frequently used keywords in autism research.

Mapping coronavirus research: quantitative and visualization approaches

PurposeThe present study aims to measure the global research landscape on coronavirus indexed in the Web of Science from 1989 to 2020. The study examines growth rates, authorship trends, institutional productivity, collaborative networks and prominent authors, institutions and countries.Design/methodology/approachThe research literature on coronavirus published globally and indexed in the Web of Science core collection was retrieved using the term “Coronavirus” and its related and synonymous terms (e.g. COVID-19, SARS-COV, SARS-COV-2 and severe acute respiratory syndrome coronavirus) as per the Medical List of Subject Headings. A total of 5,625 publications were retrieved; however, the study was restricted to articles only (i.e. 4,471), and other document types were excluded. Quantitative and visualization techniques were used for data analysis and interpretation. VOSViewer software was employed to map collaborative networks of authors, institutions and countries.FindingsA total of 4,471 articles have been published on coronavirus by 99 countries of the world with the maximum contribution from the USA, followed by the People's Republic of China. The United States, China, Canada, Netherlands and Germany are the front runners in the collaborative network and form strong sub-networks with other countries as well. More than 1,000 institutions collaborate in the field of coronavirus research among 99 contributing countries. The authorship pattern shows that 97.5% of publications are contributed by authors in collaboration in which 77.5% of publications are contributed by four or more than four authors. The range between degree of collaboration (DC) varies from 0.89 in 1993 to 1 in 2000 with an average of 0.96 from 1989 to 2020. The results confirm that the coronavirus research is carried out in teamwork at the individual, institutional and global levels with high magnitude and density of collaboration. The relative growth of the literature has shown inconsistency as a decreasing trend has been observed from 2007 onwards, thereby increasing the doubling time from 4.2 in the first ten years to 17.3 in the last ten years.Research limitationsThe study is limited to the publications indexed in the Web of Science; the findings cannot be generalized across other databases.Practical implicationsThe results of the study may help medical scientists to identify the progress in COVID-19 research. Besdies, it will help to identify the prolific authors, institutions and countries in the development of research.Social implicationsThe current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.Originality/valueThe current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but also the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.

A Scientometric Analysis of Research on Bio Filtration of Waste Gas Streams During 1989-2020

Biofiltration is a superior method of pollution control technologies among the various physical, chemical and biological methods. This process uses active microorganisms and to degrade pollutants produce innocuous end products. Microbes present in the filter materials used in remove of contaminants from the air effectively. A total of 1386 bibliographic records from the Web of Science (WoS) database were extracted and analyzed to report the analysis of scientific state of the authors, journals, countries, and categories. Histcite and VoSviewer software’s are used for analyzing records. In the study, we have analyzed annual contribution, authorship pattern, type of document, language, degree of collaboration, Collaborative index, Co-author index, relative growth rate and doubling time, Bradfords law, h-index, subject wise, countries and co-occurrence keywords. The results indicate that USA and China are the most contributing countries in biofiltration. This study therefore, provides an extensive understanding about the trends and research patterns of biofilter of air efforts worldwide. Finally, research gaps and environment pollution issues are highlighted and the scope for future also discussed.

Global research on library service quality: a bibliometric analysis and knowledge mapping

Purpose This study aims to examine the publishing and citation trends on library service quality (LSQ) in the past five decades (1972–2020). Additionally, this bibliometric study investigates the top authors, countries, organizations, journals, nature of collaboration, highly cited articles and LSQ sub-areas. Design/methodology/approach Bibliometric analysis has been used to extract data from the Scopus and Web of Science (WOS) databases. A comprehensive search strategy was devised to extract relevant data from both data sources. Finally, 341 Scopus and 212 WOS records were selected. Data analysis has been performed using VOS viewer software, Biblioshiny, Cite Space and Excel. Findings It was found that a total of 443 items were published in Scopus (n = 341) and WOS (n = 212) during this period. The largest number of studies were published in the year 2019 (n = 29), and the USA was found to be the most productive country, with the most productive organizations, authors and author collaborations. The Texas A&M University in Texas, USA, had the top three most productive authors (Cook C, Thompson B and Heath F) and was the most productive organization. The Performance Measurement and Metrics Journal is on the top of the list. The single author was the prevailing authorship pattern, followed by the two-authors pattern. The most collaborating countries were identified as the UK, Japan, Spain and Bangladesh. The keyword analysis informed that the published literature on LSQ mainly concentrated on academic libraries, Therefore, there is a need further to examine other types of libraries including public, national, special libraries. Originality/value To the best of the knowledge, this seems to be the first comprehensive bibliometric study that combined productivity and citations, citation impact to present a holistic picture of the LSQ literature.

Studies on Relative Growth Rate and Doubling Time of Publications Productivity of Nuclear Medicine Research

Scientometrics is a branch of the library and information science. Scientometric tools can be used to quantify and compare the scientific activities at various levels of collection including institutions, sectors, provinces, and countries. They can also be used to measure research collaborations, map scientific networks, and monitor the evolution of scientific fields. Scientometric indicators give policy-makers objective, reproducible, and therefore verifiable information that goes away from the unreliable. Scientometrics is anxious about the quantitative features and characteristics of science and scientific research. Scientometrics is a restraint, which uses statistical and computational techniques to realize the structure and changing aspects of science. The study shows that the Authorship Pattern in Nuclear Medicine literature fluctuates from single-authored publications to 78 authored publications during the study period 1991-2020. As per the analysis of the table, the highest number of research output by single-authored was 14.06% with 1776 contributions followed by double authored contributions was 13.07% (1651) and three authored contributions were 12.59% (1590).

The emergence of scholarly literature on physical/social distancing related to Coronavirus: A bibliometric analysis

Introduction: The world is witnessing new public health crises due to the emergence of the novel coronavirus. This study aims to present a bibliometric analysis of research on coronavirus-related physical/social distancing.Design and Methods: In this study, a bibliometric analysis was applied to see the research productivity and its impact on coronavirus-related physical/social distancing. For this purpose, Scopus was used to retrieve the data for the analysis. A total of 2900 records was downloaded from the database for analysis.Results: The findings revealed that the top four authors published their research in the year 2020. The study ranked the British Medical Journal (BMJ) at the top position on publishing the research on the topic. Similarly, the USA took the lead in all countries in producing research on the topic. The researchers preferred the document type ‘Article’ for sharing their research, and a single authorship pattern was dominated on all other patterns.Conclusions: Plenty of bibliometric studies are available on coronavirus, but not a single study is found on coronavirus-related physical/social distancing. This study will be valuable in identifying different bibliometric dimensions on the topic.