Social Tagging Research Articles

A bibliometric analysis of the top 100 most cited papers and research trends in breast cancer related BRCA1 and BRCA2 genes.

This study aimed to identify, characterize, and map the important attributes of the top 100 most cited papers on BRCA1 and BRCA2 genes. The scientific literature on BRCA1 and BRCA2 was searched in the Web of Science Core Collection database using the keywords “BRCA1” OR “BRCA2” (Title). The top 100 most cited papers were selected based on citations. The obtained data were exported into HistCiteTM, RStudio, and VOSviewer software for prerequisite analysis. The top 100 most cited papers on BRCA1 and BRCA2 were authored by 932 authors from 24 countries and published in 27 journals. These papers were cited 79,713 times, ranging from 441 to 4671 citations. The highly cited paper was cited 4671 times and published in Science (1994). The leading author, journal, publication year, institution, and country were Easton DF (n = 16), Nature Genetics (n = 11), 2002 (n = 11), University of Pennsylvania (n = 17), and the USA (n = 76), respectively. The results show that all the top 100 papers were produced in developed countries. The collaboration index among the authors was 9.49. The most frequently appeared keywords were ovarian-cancer, breast-cancer, mutations, gene, and familial breast. In recent times, the trend topics were patients, mutations, carriers, ovarian, and risk.

A comprehensive bibliometric analysis on opinion mining and sentiment analysis global research output

The rise of the Internet and social media (i.e. reviews, forum discussions, blogs and social networks) constituted an interesting source to detect user opinion trends. This study examines the global publication output on opinion mining and sentiment analysis from documents published in 2000 to 2020. Bibliometric indicators on the trends, most cited papers, authors, institutions, countries, funding agencies and research subject areas were independently screened and analysed using bibliometrix package in R. A total of 7603 eligible documents were identified from 2000 to 2020. The total number of citations for all publications was 129,251, with an average of 17.0 citations per publication. About 14,629 authors wrote those documents with 1.93 authors per document and a collaboration index of 1.98. The most prolific author was Cambria Erik, with 47 publications and h-index of 42. The leading countries for research were China with n = 824, India with n = 576 and the United States with n = 244 publications. Lecture Notes in Computer Science proceedings was the top-ranked venue for publications with n = 434, h-index of 32 and 4598 total citation scores. National Natural Science Foundation of China was the top-ranked funding agency for research, and most of the publications were computer science ( n = 6320) documents. The study provides an in-depth assessment of the landmark of the hot research topic and acknowledges the contribution of the most productive and active authors across different countries in the world. In addition, the findings could support the younger scholars in their future research direction and improve the efficiency in potential future research collaborations and projects.

Mapping of research Productivity on Chikungunya indexed in Web of Sciences Core Collection

Significant research progress has been made towards understanding the Chikungunya virus (CHIKV); however, the research productivity and milestones remain unclear. In this study, we investigated the global research outputs on CHIKV and assessed the landscape and future research directions. The Web of Science Core Collection (WoSCC) database was used to identify the relevant publications. A bibliometric analysis was performed using the bibliometrix package in R, HistCite, and VOSviewer v. 1.6.6. A total of 3,423 relevant studies published from 1963 to 2020 were identified on October 1st 2021. The mean citation score per document was 24, while Hirsch index and Collaboration Index were 124 and 3.8 respectively. The United States contributed the highest number of articles (n=659). The Institut Pasteur took the lead as the most prolific institution, having the highest number of publications (n=178). The top journal was Journal of PLOS Neglected Tropical Diseases with 167 publications. Lastly, most funding for CHIKV research was from the United States Department of Health and Human Services. This article has provided a comprehensive overview of the most significant evolution in the field of CHIKV research in terms of authors, journal, country, institution, research direction, and funding agencies.

A comprehensive social matrix factorization for recommendations with prediction and feedback mechanisms by fusing trust relationships and social tags

A comprehensive social matrix factorization for recommendations with prediction and feedback mechanisms by fusing trust relationships and social tags

A Global Analysis of Research Outputs on Neurotoxicants from 2011–2020: Adverse Effects on Humans and the Environment

Neurotoxicants are detrimental to the mammalian nervous system at higher concentrations after exposure, and could result in several neurological abnormalities, especially on the nervous and reproductive systems, and sometimes death. The present study, therefore, aimed to evaluate the research growth on neurotoxicants and their effects on humans and the environment over the last decade from 2011 to 2020. Data on this subject were obtained from the SCI-Expanded of Web of Science, and analyses were performed on the retrieved data in RStudio. The number of published documents fluctuated over the studied years, with an annual growth rate of 4.46%, and the highest number of publications were recorded in 2020 (n = 40). Single authored documents, documents per author, authors per documents, and collaboration index were 24, 0.219, 4.57, and 4.87, respectively. Networks of collaboration in this study were noticeable among authors, institutions, and countries; thus, making efforts to strengthen networking globally would be a good idea. Results from this study also show that the growing trend of research in the field is quite encouraging, thus providing future directions to upcoming researchers, and contributes immensely to reducing the exposure and several disorders linked to these neurotoxicants globally.

EMPOWERING 21ST CENTURY SKILL IN DISTANCE LEARNING THROUGH ELECTROLYTE SOLUTION ASSIGNMENTS AT SMAN 2 CIKAMPEK

The research aims to capture the ability and measure the collaboration index of students in conducting and presenting experimental results, involving 252 respondents using the case study method. The aspect of showing the ability to work effectively, being able to appreciate team differences has an index of 81.41% with a VERY STRONG interpretation, "taking responsibility together in collaborative work and appreciating contributions made by team members" has an index of 67.55% with an interpretation SRONG, “shows flexibility and is willing to accept other people's opinions in achieving goals” has an index of 79.8% with a STRONG interpretation

A systematic assessment of research trends on polycyclic aromatic hydrocarbons in different environmental compartments using bibliometric parameters.

Polycyclic aromatic hydrocarbons (PAHs) are a large group of diverse hazardous organic compounds that are relatively stable and widely distributed throughout the world's ecosystems due to various anthropogenic activities. They are generally less soluble in water and have a low vapour pressure, but dissolve easily in adipose tissues; and they bioaccumulate into high concentrations in aquatic animals, thereby exerting a variety of hazardous and lethal effects. Despite the plethora of research studies on these pollutants, only few bibliometric reviews on the subject have been documented in the literature. As a result, the present study aimed to assess the research growth on PAHs-related studies across different ecosystems. Science Citation Index-Expanded of Web of Science was explored to obtain the research studies that were conducted between 1991 and 2020, and RStudio was utilized for the data analysis. Annual productivity increased arithmetically over the years, with a 9.2% annual growth rate and a collaboration index of 2.52. Foremost among the trend topics in this field of study include soil, sediments, biodegradation, bioremediation, bioavailability, and source apportionment. China, USA, Spain, France and Germany were the five top-ranked countries in terms of publications and citations over the three decades investigated; however, Korea, Japan, United Kingdom, Germany, and Canada were ranked as the five leading countries in terms of collaboration per published article (MCP ratio). Therefore, efforts to strengthen international collaboration in this field of study especially among the less participating countries and continents are thus encouraged. The findings of this study are expected to provide future direction for the upcoming researchers in identifying the hot spots in this field of study as well as research leaders whom to seek collaboration in their future research plan.

Mapping of global research on familial Mediterranean fever: a SCI-Expanded-based bibliometric analysis.

Familial Mediterranean fever (FMF) is a disease of the innate immune system. The disease is prevalent in the Mediterranean region. A comprehensive bibliometric analysis of the published literature on FMF indexed in the SCI-Expanded is lacking. To review the global research trend, developments, leading authors, journals, institutions, and countries, and visualization mapping of the published scientific literature on FMF. The data were obtained from SCI-Expanded of the WoSCC database. The obtained data were analyzed using Bibliometrix: An R-tool and an online Bibliometric tool. P-value less than 0.05 was considered statistically significant. In this study, a total of 1665 publications (research article, 92% and review, 8%) on FMF were analyzed and characterized. These publications were authored by 5630 authors, and published in 465 journals. The scientific production in FMF research has been increasing over time (p < 0.0001), with scientific annual growth of 3.96%. The most frequent year of publications was 2021 (n = 98), while the most attractive and published journal in FMF research was Rheumatology International (n = 116). The leading institution was Hacettepe University. The top ranked and most cited country in FMF research was Turkey. In total, the authors' collaboration index was 3.47. Generally, FMF scientific research production has increased over the last two decades. The most studied research areas in FMF were rheumatology, general internal medicine and genetics heredity. The most studied recent trend topics in FMF research were validity, reliability, endothelial dysfunction, management, and recommendations. Moreover, regional collaboration between less active countries should be extended in order to expand FMF-related research and thus prevent and control the disease in the near future.

A study of Authorship Pattern and Collaborative Measures of Pt. Ravishankar Shukla University, Raipur Chhattisgarh

The study highlights the Authorship pattern and collaborative measures of the 1692 Scholarly publications published in the Web of Science database for 21 years from 1989 to 2020. The study reveals the various significant aspects like the Collaborative index, collaborative coefficients, the correlation between authors and articles, and the degree of collaboration. There is a highly significant correlation found between articles and the authors. The highest collaborative index (3.32) and collaborative coefficient (0.64) were recorded in the year 2000. 1644 publications were co-authorship index while 48 publications single author index out of 1692 publications.

#GirlsWhoRide: Social Media Affordances-In-Practice and Their Role in Organization Creation

Despite growing interest in the role social media plays in entrepreneurial phenomena, how social media users communicate and connect with other users in ways that facilitate such phenomena is little understood. I begin to address this question by using an affordance-in-practice perspective to explore how social media users employ features of the social network site Instagram to communicate and the role of such affordances in the process of entrepreneuring, a processual and relational understanding of organization creation. Drawing on the case of a local group of women motorcyclists which began with one woman’s online quest to find friends with whom to ride and the group’s sudden and rapid expansion into a global organization ten months later, I employ an inductive qualitative content analysis to explore patterns of communication visible in the group’s social media posts and comments by other users leading up to the group’s expansion. Emerging from this inquiry are findings that situated uses of hashtags and social tagging afford heterogeneous users both highly-targeted interpersonal and broadly-interconnective practices of communication which were instrumental in fostering growth of the group’s social media following. I theorize how these affordances-in-practice contribute to organization creation.

Unveiling research productivity of premier IIMs of India (2010–2021)

PurposeThis study aims to investigate the research productivity in terms of publications count of the top four premiers Indian Institute of Management (IIM) institutions and to explore the current research trends.Design/methodology/approachBibliometric techniques were employed to assess the performance in terms of research productivity of authors affiliated with IIMs. The Elsevier Scopus database was selected as a tool to extract the prospective publications data limiting the time frame for 2010–2021. The IIM-Ahmedabad, IIM-Bangalore, IIM-Calcutta and IIM-Lucknow have been selected for the study. The harvested data were analyzed by using the standard bibliometric indicators and scientometric parameters to measure the research landscape such as average growth rate, compound average growth rate, relative growth rate, doubling time, degree of collaboration, collaborative index, collaborative coefficient and modified collaborative coefficient. VOSviewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization.FindingsThe research productivity of selected four IIMs has shown an upward trend during the study period from 2010–2021 and accrued 4,397 publications with an average of 366 publications per year. The authorship patterns demonstrate the collaborative trends as most of the publications were produced by the multiple-authors (81.03%). IIM-Ahmedabad has produced the maximum number of publications (32.20%). The research productivity of IIMs has come out in collaboration with the 125 nations across the world and the USA, the UK, Canada, Germany and China are the front runners with IIMs in the collaborative network. The high magnitude and density of collaboration are evident from the calculated mean values of the degree of collaboration (0.82). The mean values of the collaborative index (2.64), collaborative coefficient (0.51) and modified collaborative coefficient (0.51) demonstrated a positive trend, but indicate the fluctuation in the collaborative pattern as time proceeds.Research limitations/implicationsThe study is limited to the publications data indexed in the Scopus database, therefore the outcome may not be generalized across other databases available in the public domain like Web of Science (WoS), PubMed, Dimensions and Google Scholars.Practical implicationsThe findings of the study may aid academics and library professionals in identifying research trends, collaboration networks and evaluating other academic and research institutions by using the current advancement in data analysis.Originality/valueThe present study is the first effort to evaluate the research productivity of IIMs. The expanding literature will make an important contribution to identifying patterns and evaluating current research trends on a worldwide scale.

Assessment of collaboration patterns in the field of biology in Armenia during 2007-2020: a bibliometric overview

Bibliometric analysis is widely used for the assessment of collaboration both at the domestic and international levels, which has been known as one of the essential parts of academic performance and enhancement of scientific productivity and visibility. Evaluation of national and international cooperation in the framework of jointly published papers in biology underlies the core of present study. This research provides insight into the nature of scientific productivity and international scientific cooperation. The study aims to give a bibliometric overview via scientometric indicators based on a bibliometric database of published articles in the Biological Journal of Armenia during 2007-2020. The main indicators used for the evaluation of co-authorship patterns include the degree of collaboration, collaboration index, and the collaboration coefficient. The visualization of landscapes for both institution-wise and country-wise distributions within the international cooperation has also been performed.

Digital library research in BRICS countries during 2000-2019:scientometric analysis

The study examines 1220 digital library research papers published by BRICS countries during the period 2000 to 2019. Bibliographic data on the research papers were collected from Web of Science database. It is found that maximum number of publications (225) were two-authored. The Degree of collaboration is 0.84, collaborative index is 4.14, the collaboration co-efficient is 0.59 and the modified collaboration co-efficient is 0.61. Among all the BRICS countries, China has contributed the most number of papers [690 (56.58%)] followed by India with 205 (16.80%) contributions. Lotka's law was not found to fit with the observed author's productivity of the study. The study concludes that there is increased research on digital library in BRICS countries.

A Bibliometric Analysis of Research Trends in Biodegradation of Plastics.

The rapid growth in the production and application of plastic globally has resulted in plastic pollution with a negative impact on the environment, especially the marine ecosystem. One main disadvantage in the majority of polymers is disposal after a useful life span. Non-degradable polymers create severe difficulty in plastic waste management that might end up in landfills or wash into the ocean. The biodegradation of plastic waste is one solution to this critical problem of pollution. Hence, there is a need to consider the advancement of research in this subject area, in pursuit of a way out of plastic pollution. Thus, this study was designed to map the biodegradation of plastic-related research from 2000 to 2021. Statistical information on the topic was recovered from the Web of Science Core Collection and analysed using the bibliometrix package in RStudio statistical software, while data visualisation was conducted via VOSviewer. Our evaluation indicated that the amount of research on the biodegradation of plastic increased over the last decade, and the annual growth rate of publication trends was 11.84%. The study revealed that 1131 authors wrote the 290 analysed documents, with a collaboration index of 4.04. Cooper DG (n = 11) was the most relevant author, McGill University (n = 21) was the most active university, and the Journal of Polymers and the Environment (n = 19) the leading journal. The outcome of this study can guide prospective research and offer vital information for improving the management of plastic waste.

A Study of Subject Headings vs. User Generated Tags

User-generated tagging or folksonomy is one of the most popular Web 2.0 applications and has attracted the interest of libraries and information centres, which has developed services that facilitate user community collaboration. In the digital environment, social tagging has the potential to overcome certain limitations of traditional subject headings. The main objectives of this research paper are to identify the scope of user-generated tags as compared to Subject Heading Lists and to explore the extent to which these user-generated tags can be used to enhance subject access. In this research paper, the problem is comparison between the Subject heading List and user generated tags. This work is an exploratory research and has followed a case study method. Five searches were performed in Library Thing using its Tag mash feature (essentially a keyword search of the user tag field) using 5 tags. After searching articles and interpreting all data, a comparison between the subject heading list and User-generated tags have been made.

Hashtags: Social Media Community Information Dissemination Ultimate Tools

We often hear about the online battles between social media users on contradictory beliefs, advocation, events feedback and petty viral arguments. They show their solidarity through the use of hashtags (#), that allow them to spread news quickly and keepit up dated. This article explores the concept of a social tagging or commonly known as hashtags in social media platforms, which supports, knowledge exchange, research, and networking opportunities for the social media community. Creating content is one of the virtues in social media platforms to advocate awareness among its users and followers. Past researchers of the study are discussed exponentially to provide a holistic view. Challenges faced by the social media users and social media platform providers are also mentioned in this paper.

Bibliometric Analysis and Visualization Mapping of Anthrax Vaccine Publications from 1991 through 2021.

Purpose: This study aims to analyze and characterize anthrax vaccine-related research, key developments, global research trends, and mapping of published scientific research articles during the last three decades (1991–2021). Methods: A bibliometric and visualized study was conducted. The Web of Science Core Collection database (WoSCC) was searched using relevant keywords (“Anthrax” OR “Anthrax bacterium” OR “Bacillus anthracis” OR “Bacteridium anthracis” OR “Bacillus cereus var. Anthracis” (Topic)) AND (“Vaccine” OR “Vaccines” OR “Immunization” OR “Immunisation” OR “Immunizations” OR “Immunisations” (Topic)) with specific restrictions. The data was analyzed and plotted by using different bibliometric software and tools (HistCiteTM software, version 12.3.17, Bibliometrix: An R-tool version 3.2.1, and VOSviewer software, version 1.6.17). Results: The initial search yielded 1750 documents. After screening the titles and abstracts of the published studies, a total of 1090 articles published from 1991 to 2021 were included in the final analysis. These articles were published in 334 journals and were authored by 4567 authors from 64 countries with a collaboration index of 4.32. The annual scientific production growth rate was found to be 9.68%. The analyzed articles were cited 31335 times. The most productive year was 2006 (n = 77, 7.06%), while the most cited year was 2007 (2561 citations). The leading authors and journals in anthrax research were Rakesh Bhatnagar from Jawaharlal Nehru University, India (n = 35, 3.21%), and Vaccine (n = 1830, 16.51%), while the most cited author and journal were Arthur M. Friedlander from the United States Department of Defense (n = 2762), and Vaccine (n = 5696), respectively. The most studied recent research trend topics were lethal, double-blind, epidemiology, B surface antigen, disease, and toxin. The United States of America (USA) was the most dominant country in terms of publications, citations, corresponding author country, and global collaboration in anthrax vaccine research. The USA had the strongest collaboration with the United Kingdom (UK), China, Canada, Germany, and France. Conclusion: This is the first bibliometric study that provides a comprehensive historical overview of scientific studies. From 2006 to 2008, more than 20% of the total articles were published; however, a decrease was observed since 2013 in anthrax vaccine research. The developed countries made significant contributions to anthrax vaccine-related research, especially the USA. Among the top 10 leading authors, six authors are from the USA. The majority of the top leading institutions are also from the USA. About 90% of the total studies were funded by the United States Department of Health and Human Services (HHS), National Institutes of Health (NIH), USA, and the National Institute of Allergy and Infectious Diseases (NIAID), USA.

The emergence of core (hash)tags and its effects on performance

The informational and social impacts of tags on forming networked publics have drawn extensive scholarly attention. However, existing literature lacks systematic and longitudinal accounts of how trending tags garner community interest and facilitate the promotion of user-generated content. This study addresses this issue by explicating the structures and functions of social tagging, showing how users employed certain tags to improve performance. To provide empirical evidence, we tracked and analyzed social tagging activities in an online community from its early stage for seven years. Over this time frame, very few tags emerged as core tags--the consensus choices that both occurred and co-occurred frequently. Furthermore, the application of core tags, which can represent the tacit rules and platform vernaculars co-defined by the community members, improved performance noticeably more than using peripheral tags. Interestingly, among the core tags, those that possessed linguistic idiosyncrasies particularly contributed to high performance. The findings highlight the complex contingencies of social tagging structures and functions and provide practical implications for users and platforms to strategically manage tag-based networked publics.

Análisis bibliométrico de los artículos originales de la revista EnfermeríaIntensiva durante el período 2001-2020

IntroductionBibliometric analysis allow the quantitative evaluation of the characteristics of a scientific publication. ObjectiveTo perform a bibliometric analysis of original articles in the journal EnfermeríaIntensiva from 2001 to 2020. ResultsThe journal EnfermeríaIntensiva has published, between 2001 and 2020, 438 works, of which 259 are original articles (59.1%). These original articles are mostly quantitative studies (76.1%), with an average of 30.5 bibliographic references (SD 13.9), 4.9 citations (SD 1.7) in the Web of Science and Scopus repertoires, and 15,489.5 visits/downloads (median 9,090 and interquartile range 4,567-15,260) according to information on the magazine's website. These originals have been signed by 1,345 authors, which represents a collaboration index of 5.2 (SD 0.7). A percentage of 78.0 of the authors are sporadic, having published only one work. Most of the articles come from authors who work in institutionally located in hospitals and university centers, and geographically in the communities of Madrid, Cataluña, Navarra and Andalucía. ConclusionsThere is little international, regional and institutional collaboration, producing the highest level of collaboration between authors from the same center. The journal has established itself in the panorama of scientific nursing research in Spain and shows bibliometric indicators similar or even superior to other publications in its environment.

Personalized recommendation system based on social tags in the era of Internet of Things

Abstract With the rapid development of the Internet, recommendation systems have received widespread attention as an effective way to solve information overload. Social tagging technology can both reflect users’ interests and describe the characteristics of the items themselves, making group recommendation thus becoming a recommendation technology in urgent demand nowadays. In traditional tag-based recommendation systems, the general processing method is to calculate the similarity and then rank the recommended items according to the similarity. Without considering the influence of continuous user behavior, in this article, we propose a personalized recommendation algorithm based on social tags by combining the ideas of Markov chain and collaborative filtering. This algorithm splits the three-dimensional relationship of &lt;user-tag-item&gt; into two two-dimensional relationships of &lt;user-tag&gt; and &lt;tag-item&gt;. The user’s interest degree to the tags is calculated by the Markov chain model, and then the items corresponding to them are matched by the recommended tag set. The influence between tags is used to model the satisfaction of items based on the correlation between the tags contained in the matched items, and collaborative filtering is used to complete the sparse values when calculating the interest and satisfaction between user–tags and user–items to improve the accuracy of recommendations. The experiments show that in the publicly available dataset, the personalized recommendation algorithm proposed in this article has significantly improved in accuracy and recall rate compared with the existing algorithms.