Journals In Category Research Articles

A computational literature review of football performance analysis through probabilistic topic modeling

This research aims to illustrate the potential use of concepts, techniques, and mining process tools to improve the systematic review process. Thus, a review was performed on two online databases (Scopus and ISI Web of Science) from 2012 to 2019. A total of 9649 studies were identified, which were analyzed using probabilistic topic modeling procedures within a machine learning approach. The Latent Dirichlet Allocation method, chosen for modeling, required the following stages: 1) data cleansing, and 2) data modeling into topics for coherence and perplexity analysis. All research was conducted according to the standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses in a fully computerized way. The computational literature review is an integral part of a broader literature review process. The results presented met three criteria: (1) literature review for a research area, (2) analysis and classification of journals, and (3) analysis and classification of academic and individual research teams. The contribution of the article is to demonstrate how the publication network is formed in this particular field of research, and how the content of abstracts can be automatically analyzed to provide a set of research topics for quick understanding and application in future projects.

The internationalization of Chinese scholarly journals based on publications deriving from the G8 countries

China’s rapid rise in international collaboration and scientific research has been widely documented, but the progress of Chinese scholarly journals towards internationalization has been less investigated. This study examines the internationality of Chinese scholarly journals using bibliometric analysis of publications deriving from the eight highly industrialized countries (the Group of 8, or G8) namely, Canada, France, Germany, Italy, Japan, Russia, the UK and the USA, from 1979 to 2016 based on the databases of the Chinese National Knowledge Infrastructure (CNKI). Annual production and research trends, research affiliations, research emphases and foci, and common journal sources were analyzed. The analysis reveals that the internationality of Chinese scholarly journals has been continuously growing since 1979 and increased rapidly from 2004 to 2010. Both foreign researchers’ submissions and internationally co-authored Chinese publications substantially contributed to the internationalization of Chinese scholarly journals. This internationalization was also influenced by the academic scopes, journal titles and disciplinary categories of Chinese journals. The potential implications and limitations of this study are discussed

Prevalence of potentially predatory publishing in Scopus on the country level

We present results of a large-scale study of potentially predatory journals (PPJ) represented in the Scopus database, which is widely used for research evaluation. Both journal metrics and country/disciplinary data have been evaluated for different groups of PPJ: those listed by Jeffrey Beall and those discontinued by Scopus because of “publication concerns”. Our results show that even after years of discontinuing, hundreds of active potentially predatory journals are still highly visible in the Scopus database. PPJ papers are continuously produced by all major countries, but with different prevalence. Most all science journal classification subject areas are affected. The largest number of PPJ papers are in engineering and medicine. On average, PPJ have much lower citation metrics than other Scopus-indexed journals. We conclude with a survey of the case of Russia and Kazakhstan where the share of PPJ papers in 2016 amounted to almost a half of all Kazakhstan papers in Scopus. Our data suggest a relation between PPJ prevalence and national research evaluation policies. As such policies become more widespread, the expansion of potentially predatory journal research will be increasingly important.

Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity

Sustainability science is, per se, a topic that is inherently interdisciplinarity and oriented towards the resolution of societal problems. In this paper, we propose a classification of scientific journals that composes the journal category “Green and Sustainable Science and Technology” in the period 2014–2018 through the entropy-based disciplinarity indicator (EBDI). This indicator allows the classification of scientific journals in four types based on the citing and cited dimensions: knowledge importer, knowledge exporter, disciplinary and interdisciplinarity. Moreover, the relationship between this taxonomy and the JCR bibliometric indicators and its predictive capacity of the taxonomy is explored through a CHAID tree. As well, relations between the Web of Science categories, journals and taxonomy are explored by the co-occurrence of categories and correspondence analysis. Results suggest that the great majority of journals in this field are specialized or interdisciplinary. However, over the 5-year period proposed in this study, interdisciplinary journals tend to be far more stable than specialized ones. The decision tree has shown that the number of citations is the variable with the greatest discriminating capacity.

A two-dimensional journal classification method based on output and input factors: perspectives from citation and authorship related indicators

Journal assessment indicators have been widely investigated to improve the journal ranking and classification. However, most of the previous studies mainly focused on citation related indicators, while the authorship side was rarely explored. This paper studies the mechanism between the citation and authorship related indicators and defines new concepts of output factor and input factor. A framework of two-dimensional journal classification method is developed by combining the output and input factors together through comprehensive weighting methods. A two-dimensional journal performance value (TJPV) is defined to measure the performance of journals in a two-dimensional typology. A journal performance criterion is defined to divide the journals into four different levels according to the TJPV equipotential arcs. The journals in the plane are also classified into three groups, i.e., Input Factor-Oriented ones, Balanced ones, and Output Factor-Oriented ones. A balance criterion is developed to determine whether these journals are uniformly distributed or not. The ranking method based on TJPV performance criterion is only applicable for uniformly distributed journals. Thus, a Pareto non-dominated set-based sorting method is proposed for addressing the scenario of unevenly distributed journals. To demonstrate the effectiveness and validity of the proposed method, the data of output and input factors from 84 initially selected journals in “Operation Research & Management Science” category are collected to conduct a case study. New insights are obtained which are helpful to guiding the development of future journal classification criteria.

Impact of COVID-19 on longitudinal ophthalmology authorship gender trends

BackgroundThe COVID-19 pandemic increased the gender gap in academic publishing. This study assesses COVID-19’s impact on ophthalmology gender authorship distribution and compares the gender authorship proportion of COVID-19 ophthalmology-related articles to previous ophthalmology articles.MethodsThis cohort study includes authors listed in all publications related to ophthalmology in the COVID-19 Open Research Dataset and CDC COVID-19 research database. Articles from 65 ophthalmology journals from January to July 2020 were selected. All previous articles published in the same journals were extracted from PubMed. Gender-API determined authors’ gender.ResultsOut of 119,457 COVID-19-related articles, we analyzed 528 ophthalmology-related articles written by 2518 authors. Women did not exceed 40% in any authorship positions and were most likely to be middle, first, and finally, last authors. The proportions of women in all authorship positions from the 2020 COVID-19 group (29.6% first, 31.5% middle, 22.1% last) are significantly lower compared to the predicted 2020 data points (37.4% first, 37.0% middle, 27.6% last) (p < .01). The gap between the proportion of female authors in COVID-19 ophthalmology research and the 2020 ophthalmology-predicted proportion (based on 2002–2019 data) is 6.1% for overall authors, 7.8% for first authors, and 5.5% for last and middle authors. The 2020 COVID-19 authorship group (1925 authors) was also compared to the 2019 group (33,049 authors) based on journal category (clinical/basic science research, general/subspecialty ophthalmology, journal impact factor).ConclusionsCOVID-19 amplified the authorship gender gap in ophthalmology. When compared to previous years, there was a greater decrease in women’s than men’s academic productivity.

Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches

AbstractAlgorithmic classifications of research publications can be used to study many different aspects of the science system, such as the organization of science into fields, the growth of fields, interdisciplinarity, and emerging topics. How to label the classes in these classifications is a problem that has not been thoroughly addressed in the literature. In this study, we evaluate different approaches to label the classes in algorithmically constructed classifications of research publications. We focus on two important choices: the choice of (a) different bibliographic fields and (b) different approaches to weight the relevance of terms. To evaluate the different choices, we created two baselines: one based on the Medical Subject Headings in MEDLINE and another based on the Science‐Metrix journal classification. We tested to what extent different approaches yield the desired labels for the classes in the two baselines. Based on our results, we recommend extracting terms from titles and keywords to label classes at high levels of granularity (e.g., topics). At low levels of granularity (e.g., disciplines) we recommend extracting terms from journal names and author addresses. We recommend the use of a new approach, term frequency to specificity ratio, to calculate the relevance of terms.

Speaking across boundaries to explore the potential for interdisciplinarity in ecosystem services knowledge production.

Conservation is likely to be most successful if it draws on knowledge from across the natural and social sciences. The ecosystem services concept has been called a boundary object in that it facilitates development of such interdisciplinary knowledge because it offers a common platform for researchers, policy makers, and practitioners. However, a question that remains is to what extent the interdisciplinary knowledge needed is provided by disciplinary diversity within the field. We asked where is knowledge on ecosystem services produced, how interdisciplinary is this knowledge, and which disciplines facilitate the greatest disciplinary integration? We defined interdisciplinarity as the extent to which published research draws on knowledge that crosses disciplinary borders and used citations as a quantitative indicator of communication among disciplines, based on journal classification. We used disciplinary diversity, richness, and heterocitation as measures of interdisciplinarity and betweenness centrality as a measure of disciplinary integration. Our data set contained 22,153 publications on ecosystem services, published from 1983 to 2018. We found that ecosystem services research matured; average yearly output growth was 33.8%, more than the 8–9% growth in scientific output across all fields. Over time, the network clustering coefficient, measuring connectedness of individual disciplines, rose from 0.388 to 0.727, suggesting increased density in the network of citations. Researchers in the field published more articles (3566 in 2018 alone) across more disciplines (77 unique disciplines in 2018). However, this growth was not mirrored by an increase in the diversity (stable at 0.7–0.9) or richness (averaging 0.35 unique disciplines per citation) of citation patterns. Heterocitation scores, or out‐of‐group citations, for arts, humanities, social sciences, and law ranged from 56% to 64%, which was lower than we expected, although this may serve to protect the integrity of social science disciplines and attract broader engagement from within. Ultimately, a small number of productive disciplines are central to supporting disciplinary integration. However, opportunities exist for conservation practice to draw on a broader field of research, to realize the potential that the diverse body of knowledge of interdisciplinary work offers.

Integrating life cycle assessment and life cycle cost: a review of environmental-economic studies

The purpose of this document is to carry out a critical review of the existing literature by specifically addressing the following: (i) the integration of life cycle assessment and life cycle cost assessment from the perspective of research topics, category and scope of study, authors, institutions, countries, and journals working on or publishing related studies, and (ii) the main aids, challenges, opportunities, methodological difficulties, and current research efforts on the integrated approach of both tools. A systematic review was conducted to identify studies with an integrated use of life cycle assessment and life cycle cost in several areas. An analysis of the main aspects of the studies identified, such as bibliographic reference, year of publication, institution where the research was conducted, country, area of application, category of study, journal of publication, impact factor, and number of citations was conducted. After a search in the Science Direct, Scopus, and Web of Science databases, 349 documents were identified. After a series of filters (excluding gray literature, reading titles and keywords, reading abstracts, and reading full-texts), which helped ruling out articles that did not contribute to investigating the integration of life cycle assessment and life cycle cost assessment, 90 documents were selected for a detailed analysis. The leading role of the USA and European countries in this issue should be highlighted. The integration of life cycle assessment and life cycle cost seems to be most advanced in the areas of building design and civil construction. Different strategies for the integration of the methodologies are also found, being mathematical modelling and programming for optimization, and multi-criteria decision-making the most recurrent methods. Moreover, there seems to be more challenges than opportunities in said integration. The challenges include the monetization of environmental impacts, higher volatility of economic data compared to environmental data, and differences in environmental and economic background data. These challenges can be turned into opportunities in the development of more comprehensive methodological approaches. Challenges (e.g., time-, resource- and knowledge-intensive, different scopes) and opportunities (e.g., common system boundaries, benefitting from LCA structure to conduct LCC) for the integration of life cycle assessment and life cycle cost were identified. This combined approach allows projects, products, and services to reduce environmental and economic impacts, which can be quantified and compared through improved assessment of potential trade-offs.

Trends in general and public health scientific output of authors affiliated to Brazilian institutions among high-impact and SciELO journals: 1995-2019

This study aimed to assess the percentage of articles with authors affiliated to Brazilian institutions in high-impact journals and SciELO journals and to evaluate trends in 5-year citations according to the author's affiliation and journal category. Bibliometric data were obtained using Scopus database from 1995 to 2019. Publications were selected from four journal categories: High-impact General Health (HGH), High-impact Public Health (HPH), SciELO General Health (SGH) and SciELO Public Health (SPH). The number of citations that were received five years after publication and the percentage of publications with any author affiliated to Brazil were calculated by each year. The same 146 journals were followed. There was a significant increase in percentage of articles with authors affiliated to Brazilian institutions in all sets of journals. Among HGH, there was an increasing from 0.3% to 1.5% between 1995-2019, for HPH from 1% to 3%, for SGH from 49.7% to 55.4%, and for SPH from 47.4% to 71.9%. There was a significant (p < 0.01) increase in the mean of 5-year citations in all groups and Brazilian affiliated articles increased more than average. For each 10 years, average HGH articles increased 11.9 citations and Brazilian affiliated articles 32.0 citations. The results suggest that the presence of Brazilian science is increasing, and the scientific impact has increased more than average.

THE USE OF INNOVATIVE TOOLS IN THE EDITORIAL PROCESS OF SCIENTIFIC JOURNALS OF UKRAINE

Rapid progress in the field of publishing scientific journals, on the one hand, facilitates all editorial processes, and on the other hand, increases the risks of losing the uniqueness of a scientific article. The growing need of scientific journals for supporting tools that would, on the one hand, protect journal editions from unscrupulous authors who resort to the practice of scientific plagiarism, and on the other hand, instill in authors a sense of responsibility for the texts they send. The purpose is to reveal the problems of using text similarity scanners - plagiarism checking services in the editorial process of scientific journals of Ukraine, to verify by empirical research the theoretical hypothesis about the existence of certain types of practices of academic plagiarism in the Ukrainian scientific environment. Survey of editors of professional editions of the Ministry of Education and Science of Ukraine has been conducted using the CAWI method with the help of the Google forms functionality. The sample consisted of 99 experts (editors of category “A” journals – 8%; editors of category “B” journals – 92%), who represented the general population on the basis of “journal category”, which ensured the validity of the results. The opinion of the editors of scientific journals on the use of text similarity scanners in the editorial process has been determined. The most widely used services are Unicheck and Antiplagiat, which, according to respondents, most simply and concretely solve the problem of plagiarism and reuse of text. It has been identified that publishing houses that publish journals with international distribution and those indexed by the scientometric platforms Scopus and WoS (category “A” according to the national classification) mostly use similarity scanners. Publishing houses operating only within Ukraine, the journals of which are not represented in prestigious scientometric platforms, often ignore plagiarism detection software altogether and rely solely on the opinion of reviewers and editors. It is shown that the practice of using text similarity scanners, although entrenched in the Ukrainian scientific and publishing space, is still not widespread enough and does not cover the vast majority of scientific journals that rely only on traditional forms of reviewing scientific texts.

Publication Benchmarking Data Based on Faculty Promoted at the Top 200 Worldwide Accounting Research Institutions

The primary purpose of this paper is to update and extend past promotion benchmarking studies. We update prior benchmarking studies by providing publication benchmarking data for faculty promoted between 2013 and 2019, inclusive. We extend prior benchmarking studies by evaluating a larger number of institutions (the top 200 worldwide accounting institutions), using a more global journal list, and providing sensitivity analyses between journal lists. We group institutions based on rankings and report a possible minimum publication hurdle for each group in each journal category. In addition, we provide data on the mix, or percentage, of publications in each journal category for each institution ranking group.

A scoping review of retracted publications in anesthesiology

Context:Fraudulent publication is a scourge of scientific research.Objectives:This scoping review was aimed at characterizing retracted publications for fraud or plagiarism in the field of anesthesia. Does the reputation of the journal (Quartile and Impact Factor, IF) protect the reader from the risk of having the manuscript he read withdrawn for fraud/plagiarism?Methods/Design:This scoping review was planned following the Joanna Briggs Institute recommendations. Data sources: PubMed and the Retraction Watch Database (http://retractiondatabase.org/RetractionSearch.aspx?). Study selection: All types of publications retracted. Data extraction: Year, first author nationality, journal name, journal category, IF, Quartile, H index. Data analysis: The association with Quartile and IF was investigated.Results:No significant association between retraction of papers published in no-Quartile journals and retractions published in journals placed in the highest quartile.Conclusions:The quality of the surveillance in paper submission is not higher in journals of the first Quartile than in journals not placed in other Quartiles. (The protocol was prospectively registered in the Open Science Framework https://doi.org/10.17605/OSF.IO/TGKNE)

Abstract Classification Using Support Vector Machine Algorithm (Case Study: Abstract in a Computer Science Journal)

Jurnal Komputasi is an online journal written by researchers and published by the Department of Computer Science, University of Lampung. Specific scientific information contained in journals is difficult to find because journals have not been structured and are classified into more specialized categories of computer science. Text mining can convert the shape of a journal into structured by homogeneous data form in it. 144 journal abstracts are collected into one corpus document in CSV format used as a research dataset. Journal abstract classification is done using one of the supervised machine learning methods, namely Support Vector Machine (SVM) so that the classification process is faster than the manual method. The TF-IDF technique is used to transform sentences in the abstract into vector so that they can be modelled with SVM. The classification model will be validated by applying the 10-fold cross validation technique. From these classifications a calculation of the resulting performance will be calculated based on the confusion matrix calculation of the resulting performance will be calculated based on the confusion matrix calculation and the use of 3 SVM kernels. The conclusion based on this research is that there are two factors that affect classification accuracy, that is the number of members between scientific classes that are not balanced and the number of features generated from text mining. The highest accuracy of testing result obtained on the use of 205 features and SVM Linear kernel with a value of 58,3%.

A társadalomföldrajzi folyóiratok rangsorának alakulása a Scimago adatbázisa alapján

One of the main consequences of the neoliberalization of scientific life is the growing demand for measurement and comparability of scientific achievements, not only by the academia but also by society as a financier and the economy as a customer. Thus, more and more attention is being paid to journal rankings created by prestigious (and generally Anglo-Saxon-dominated) reference databases (Web of Science or Scimago) that make this possible. They play a key role in the allocation of research resources; the promotion of researchers thus also influences the publication strategies. The study aims to explore the changes and certain spatial aspects in rankings within the Geography, Planning and Development category. The research is based on the analysis of the quartile classification of human geography journals indexed in the Scimago database. Our results show what are the factors that influence the relative position of a particular journal, and through this, the indicators of researcher success.

Data Mining of Scientometrics for Classifying Science Journals

While there are several Scientometrics that can be used to assess the quality of the scientific work published in journals and conferences, yet; their validity and suitability is a great concern for stakeholders from both academia and industry. Different organizations have a different set of criteria for assessing the journals publishing scientific content. This is mostly based on the information generated from Scientometrics. A unified journal ranking system is therefore required that is acceptable to all concerned. This paper, collects data concerning Scientometrics for unified assessment of journals and proposes a mechanism of assessment using data mining methods. In order to carry out the research, big data for the proposed Scientometrics is stored in an integrated database. K Means clustering is then applied. This is to group the journals in different unsupervised clusters. The clusters are then labelled to find the exact rank of a science journal by using a state-of-the-art technique of labelling clusters. The classifier for the new instances is trained by using Naïve Bayes Classification Model. The new metrics proposed, include Eigen factor, Audience Factor, Impact Factor, Article Influence and Citations. In addition to this, the Prestige of Journal (PoJ) for the evaluation of journals is also proposed. The accuracy of both K means clustering and Naïve Bayes classification is 80%. The methods can be generalized to any problem of journal classification.

Who Reads PLOS Research Articles? Extensive Analysis of the Mendeley Readership Categories of PLOS Journals

Who Reads PLOS Research Articles? Extensive Analysis of the Mendeley Readership Categories of PLOS Journals

Understanding policy and practice of peripheral journal publishing in Indonesian higher education context

Understanding policy and practice of peripheral journal publishing in Indonesian higher education context

COVID-19 ile İlgili Makalelerin Analizi: Bilimsel Üretkenlik Ülkelerdeki Vaka Oranlarına Paralel Mi?

Introduction: Scientific studies related to COVID-19 are pivotal for uncovering infection characteristics and exploring therapeutic procedures. Scientific data sharing is at the center of these efforts. The aim of this study is to investigate the activity and trends concerning COVID-19 since the beginning of 2020. We also investigated if there is a relationship between the number of cases-deaths and publication productivity of the countries. Materials and Methods: The word “COVID-19” was searched in the Claritive Analytics®, Web of Science (WOS) searching engine. All the articles indexed in Scientific Citation Index indexed journals were subjected to analysis. Results: 16.618 articles were published in nine months. Authors from the People’s Republic of China (PRC) and institutions in the United States of America (USA) had the highest publication rates. According to WOS categories, journals about “Medicine-General-Internal” were the most preferred journal category about COVID-19. There was no statistically significant correlation between publication metrics and pandemic statistics. The USA and PRC were the most productive two countries. Conclusion: Publication productivity on COVID-19 may be the highest for any disease faced so far. Scientific productivity is higher in developed countries with fewer cases. We think scientists who have more comfortable working conditions and governmental support are scientifically more productive.

Twenty years of histochemistry in the third millennium, browsing the scientific literature.

Over the last twenty years, about 240,000 articles where histochemical techniques were used have been published in indexed journals, and their yearly number has progressively increased. The histochemical approach was selected by researchers with very different scientific interests, as the journals in which these articles were published fall within 140 subject categories. The relative proportion of articles in some of these journal categories did change over the years, and browsing the table of contents of the European Journal of Histochemistry, as an example of a strictly histochemical journal, it appeared that in recent years histochemical techniques were preferentially used to mechanistically investigate natural or experimentally induced dynamic processes, with reduced attention to purely descriptive works. It may be foreseen that, in the future, histochemistry will be increasingly focused on studying the molecular pathways responsible for cell differentiation, the maintenance or loss of the differentiated state, and tissue regeneration.