scholarly journals Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia

2021 ◽  
Vol 2 (1) ◽  
pp. 1-19
Author(s):  
Harshdeep Singh ◽  
Robert West ◽  
Giovanni Colavizza
Keyword(s):  
Web Of Science ◽  
Journal Article ◽  
Journal Articles ◽  
Web Content ◽  
Data Set ◽  
Comprehensive Data ◽  
Scholarly Publications ◽  
The Future ◽  
The Web

Abstract Wikipedia’s content is based on reliable and published sources. To this date, relatively little is known about what sources Wikipedia relies on, in part because extracting citations and identifying cited sources is challenging. To close this gap, we release Wikipedia Citations, a comprehensive data set of citations extracted from Wikipedia. We extracted29.3 million citations from 6.1 million English Wikipedia articles as of May 2020, and classified as being books, journal articles, or Web content. We were thus able to extract 4.0 million citations to scholarly publications with known identifiers—including DOI, PMC, PMID, and ISBN—and further equip an extra 261 thousand citations with DOIs from Crossref. As a result, we find that 6.7% of Wikipedia articles cite at least one journal article with an associated DOI, and that Wikipedia cites just 2% of all articles with a DOI currently indexed in the Web of Science. We release our code to allow the community to extend upon our work and update the data set in the future.

scholarly journals Innovations in Forest Bioeconomy: A Bibliometric Analysis

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1392
Author(s):  
Martin Jankovský ◽  
Sandra P. García-Jácome ◽  
Jiří Dvořák ◽  
Isaac Nyarko ◽  
Miroslav Hájek
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Web Of Science ◽  
Scientific Literature ◽  
Small Community ◽  
Qualitative Synthesis ◽  
The Future ◽  
Stakeholder Interactions ◽  
The Web

Innovations are a key component of the forest bioeconomy. Many types of innovations are needed for an efficient forest bioeconomy to be deployed. This article aimed to analyze the scientific literature on the topic of innovations in the forest bioeconomy, to understand where we are and where we are likely to be in the future, considering technologies, business models, etc. First, the scientific literature, in the form of peer-reviewed articles indexed in the Web of Science, was compiled in a comprehensive dataset, on which we analyzed the most important authors, their affiliations, regions they come from, journals where papers were most commonly published, and under which categories the papers were indexed. The total number of papers matching the keywords was 161. We found that the number of papers published on the topic is increasing and that, on average, each paper was cited 18 times. A total of 504 authors dealt with the topic, presenting a rather small community. This finding was reinforced by the outcomes of the analysis of regions where the authors of the papers were affiliated—Europe being the region to which most papers were affiliated. We conducted a qualitative synthesis of the literature on forest bioeconomy innovations. We found that authors dealt with the necessary adaptation of policies, while innovations were mainly focused on biorefining, biotechnology, production of various biomaterials, as well as innovations of business models and stakeholder interactions.

scholarly journals Scientometric Profile of Biochemistry Research in India a Study Based on Web of Science

2020 ◽  
Vol 40 (01) ◽  
pp. 388-396
Author(s):  
Sudhier K.G. ◽  
Dileepkumar V
Keyword(s):  
Tamil Nadu ◽  
Web Of Science ◽  
Uttar Pradesh ◽  
Total Output ◽  
Annual Growth Rate ◽  
Journal Articles ◽  
Productivity Distribution ◽  
Team Research ◽  
Author Productivity ◽  
The Web

The paper examines 25,132 biochemistry research contributions of Indian scientists covered in the Web of Science for a period of 10 years (2004-2013). It was found that the biochemistry research is gradually growing and average annual growth rate was 36.84 per cent. The solo research was not prevalent and team research is more in the Indian biochemistry research and 97.46 per cent publications were contributed by multi- authors. It was observed that the value of co- authorship index was generally increasing and it varied from 93 to 105 during the period of study. Journal articles contribute 89.43 per cent of the total output followed by reviews (7.14 %). Indian researchers collaborate largely with the researchers of USA (2.49 %). The geographical distribution shows that Tamil Nadu, Uttar Pradesh and Delhi lead the list. The study shows that, C. Abdul Jaleel (58) and L. Pai (37) are the top ranked authors in the field. ‘Plos One’ is the top ranked journal and it published 296 papers during the study period. Academic institutions contribute more number of papers (50.26 %) followed by research institutions (28.24 %). The Lotka’s law was not found fit with the observed author productivity distribution of Indian biochemistry research.

Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review

2020 ◽  
Vol 21 ◽  
Author(s):  
Haroon Khan ◽  
Md Belal Bin Heyat ◽  
Dakun Lai ◽  
Faijan Akhtar ◽  
M.A. Ansari ◽  
...  
Keyword(s):  
Sleep Disorder ◽  
Web Of Science ◽  
Heart Diseases ◽  
Network Visualization ◽  
Comprehensive Review ◽  
The Future ◽  
Visualization Techniques ◽  
Future Work ◽  
Inadequate Sleep ◽  
The Web

: Lack of adequate sleep is a major source of many harmful diseases related to heart, brain, psychological changes, high blood pressure, diabetes, weight gain etc. The 40 to 50 % of the world’s population is suffering from poor or inadequate sleep. Insomnia is a sleep disorder in which individual complaint of difficulties in starting/continuing sleep at least four weeks regularly. It is estimated that 70% of the heart diseases are generated during insomnia sleep disorder. The main objective of this study to determine the all work conducted on insomnia detection and to make a database. We used two procedures including network visualization techniques on two databases including PubMed and Web of Science to complete this study. We found 169 and 36 previous publications of insomnia detection in the PubMed and the Web of Science databases, respectively. We analyzed 10 datasets, 2 databases, 21 genes, and 23 publications with 30105 subjects of insomnia detection. This work has revealed the future way and gap so far directed on insomnia detection and has also tried to provide objectives for the future work to be proficient in a scientific and significant manner.

scholarly journals Four images of projectification: an integrative review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mattias Jacobsson ◽  
Beata Jałocha
Keyword(s):  
Literature Review ◽  
Web Of Science ◽  
Research Question ◽  
Primary Sources ◽  
Journal Articles ◽  
Philosophical Issue ◽  
Full Data ◽  
Data Set ◽  
Content Type ◽  
Current State

PurposeThe aim of this article is to give an overview of the development and current state of projectification research. The inquiry was driven by a threefold research question: How has projectification been understood and defined over time, what has the trajectory of the development been and what are the main trends and emerging ideas?Design/methodology/approachThe article is an integrative literature review of research done on the notion of projectification to date. An interdisciplinary, integrative literature review was conducted using Scopus and Web of Science as primary sources of data collection. The full data set consists of 123 journal articles, books, book chapters and conference contributions. With the data set complete, a thematic analysis was conducted.FindingsAmong other things, the review outlines the development and scope of projectification research from 1995 until 2021 and discusses four emerging images of projectification: projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue. These characteristics emphasize some common features of each of the images but also imply that the way projectification is understood changes depending on the paradigmatic perspective taken by the researcher, the time and place in which the observation was made and the level of observation.Originality/valueThe authors have outlined and discussed four images of projectification – projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue – where each image represents a special take on projectification with some prevalent characteristics. By doing this, the authors provide a systematic categorization of research to date and thus a basis upon which other researchers can build when furthering the understanding of projectification at large.

scholarly journals Association between Immediacy of Citations and Altmetrics in COVID-19 Research by Artificial Neural Networks

2021 ◽  
pp. 1-21
Author(s):  
Ran Na
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Impact Factor ◽  
Journal Impact Factor ◽  
Web Of Science ◽  
Scholarly Publications ◽  
Artificial Neural ◽  
Journal Impact ◽  
The Web

Abstract Objectives: Both citations and Altmetrics are indexes of influence of a publication, potentially useful, but to what extent that the professional-academic citation and media-dominated Altmetrics are consistent with each other is a topic worthy of being investigated. The objective is to show their correlation. Methods: DOI and citation information of COVID-19 researches were obtained from the Web of Science, its Altmetric indicators were collected from the Altmetrics. Correlation between the immediacy of citation and Altmetrics of COVID-19 research was studied by artificial neural networks. Results: Pearson coefficients are 0.962, 0.254, 0.222, 0.239, 0.363, 0.218, 0.136, 0.134, and 0.505 (p<0.01) for dimensions citation, attention score, journal impact factor, news, blogs, Twitter, Facebook, video, and Mendeley correlated with the SCI citation, respectively. The citations from the Web of Science and that from the Altmetrics have deviance large enough in the current. Altmetric score isn’t precise to describe the immediacy of citations of academic publication in COVID-19 research. Conclusions: The effects of news, blogs, Twitter, Facebook, video, and Mendeley on SCI citations are similar to that of the journal impact factor. This paper performs a pioneer study for investigating the role of academic topics across Altmetric sources on the dissemination of scholarly publications.

scholarly journals Semantic Ranking based on Keywords Extractions in the web

2018 ◽  
Vol 7 (2.6) ◽  
pp. 290
Author(s):  
A Sangeetha ◽  
C Nalini
Keyword(s):  
Statistical Data ◽  
Semantic Network ◽  
Research Work ◽  
Semantic Relatedness ◽  
Data Set ◽  
The Future ◽  
The Web

The collection of terminologies from text is animportant for several issues, i.e., the future extraction and also summarization of keyword in semantic network. Semantic Ranking is typically performed using statistical data from text. Our proposed strategy develops a semantic chart utilizing understood connections, which depend on semantic relatedness between content hubs and therefore positions hubsutilizing Ranking calculations. This research work focuses only Semantic Rank for keyword mining from text. This method for keywords extraction shows that Semantic Rank makesconstructivelyin the data set. 

scholarly journals Are Papers Asking Questions Cited More Frequently in Computer Science?

Computers ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 96
Author(s):  
Dalibor Fiala ◽  
Pavel Král ◽  
Martin Dostal
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Data Set ◽  
Question Mark ◽  
Asking Questions ◽  
The Mean ◽  
Number Of Citations ◽  
The Web

In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called “asking papers” is greater by almost 20% than that of other papers, and that this difference is statistically significant.

Outsourcing library functions: a bibliometric study in SSCI

2016 ◽  
Vol 29 (4) ◽  
pp. 251-258 ◽  
Author(s):  
Tsu-Jui Ma ◽  
Gwo-Guang Lee
Keyword(s):  
Web Of Science ◽  
Citation Index ◽  
Journal Article ◽  
Bibliometric Study ◽  
Journal Articles ◽  
Content Type ◽  
Search Terms ◽  
Basic Reference ◽  
Research Questions ◽  
Social Sciences Citation Index

Purpose The purpose of this paper is to explore the bibliometric study of journal articles in Social Sciences Citation Index (SSCI) related to outsourcing library functions, including publication trends from 1994 to 2015, core journals, authorship and citing articles used for librarians and researchers to have a basic reference of relevant resources. Design/methodology/approach The methodology consisted of journal article searches in SSCI with 1994-2015 as the date limiter. The search terms came from the topic of outsourcing to the topic of library by using the Boolean operator; and results were used in the Web of Science (WOS) database based on pre-determined categories and were evaluated based on the five research questions about core journals, authorship and citing articles. Findings The findings were based on the five research questions evaluated in the bibliometric study. There were 55 articles published on the topics of outsourcing and library authored by 80 individuals between 1994 and 2015. In the 55 articles analyzed, there were 24 different journals represented with 150 times cited. Originality/value This study takes the bibliometric analysis approach, which has rarely been used on the topics of outsourcing and library articles with the specific focus on library finance issues. It provides a foundation for further research on the topic as well as resources to be used by librarians and researchers.

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