Theh‐index: a broad review of a new bibliometric indicator

Advancements and emerging trends in ophthalmic anti-VEGF therapy: a bibliometric analysis

INTRODUCTION

Vascular Endothelial Growth Factor (VEGF) is associated with abnormal fundus neovascularization. Consequently, Anti-VEGF agents are vital for ophthalmic treatment. This paper reviews the application of anti-VEGF agents in ophthalmology over the past two decades with the aim of providing insights for further research.

METHODS

A meticulous search strategy was employed in the Web of Science Core Collection literature from 2003 to 2023 to gather relevant literature, which was then analyzed using VOSviewer, CiteSpace, and the R package Bibliometrix.

RESULTS

The study included 3,602 publications from 83 countries and 3,445 institutions. The United States and China have emerged as leading contributors in terms of the publication volume. Johns Hopkins University, the University of Sydney, and Genentech Inc were identified as frontrunners in this field. "Retina" had the highest publication volume, whereas "Ophthalmology" had the highest citation frequency. Among the 15,918 scholars, Bressler NM, Holz FG, Glassman AR, and Bandello F led in publication volume, while Brown DM was the most cited author. High-frequency keywords included "Endothelial Growth Factor," "Therapy," "Safety," and "Randomized Clinical Trial."

CONCLUSION

Anti-VEGF drugs have shown notable success in treating neovascular eye diseases, especially wet age-related macular degeneration and diabetic macular edema, focusing on clinical efficacy, injection regimens, and safety. Future directions include developing new anti-VEGF drugs, drug delivery systems, non-invasive administration, multi-target drugs, leveraging big data and artificial intelligence, and addressing the current treatment limits. Continuous innovation and method improvement in this field promise more breakthroughs, providing effective, safe, and economical options for eye disease treatment.

Educational technologies and elementary level education - A bibliometric review of scopus indexed journal articles

This bibliometric study critically analyses 293 journal articles from the Scopus database, charting the trajectory of educational technology in primary and elementary education from 1986 to 2023. While limited to practical applications within primary or elementary contexts and excluding various scholarly work forms, the research unveils crucial insights. A significant uptick in publications during 2008-2016 and 2018-2023 highlights the growing importance and incorporation of digital technologies in early education. The analysis identifies recurrent themes like teacher education, game-based learning, and collaborative learning, pointing towards future research directions. The study also notes underexplored areas, including technology's role in specific subjects, ethical student engagement, gender and disability dynamics, and contributions from African contexts. It advocates for increased international collaboration, with a focus on partnerships with predominant Chinese institutions. Despite its limitations, this paper is foundational for future research, offering a roadmap for a nuanced understanding of technology's impact on young learners' educational experiences and outcomes globally.

Citation metrics and evaluation of journals and conferences

Citation analysis aims at evaluating the published scientific manuscripts, their authors and the publication venues (journals/conferences). There are several popular metrics for measuring the impact of the journals, the Impact Factor (IF) being the most popular. Similarly, the [Formula: see text]-index is a popular metric for evaluating and ranking conferences. We have presented a review of metrics for citation analysis, categorised according to their applicability for evaluating journals and conferences. The citation metrics may also be categorised as popularity measuring and prestige measuring. Prestige measuring indicators like SCImago Journal Rank (SJR) and Eigenfactor have already gained popularity for evaluating journals. We discuss their role in evaluating the conferences. Indeed, some conferences have already started mentioning their prestige score in terms of the SJR of their conference proceedings. We also propose a Normalised Immediacy Index ([Formula: see text]), a variant of the Immediacy Index ([Formula: see text]), to measure the immediate relevance of articles published in a journal/conference. It is shown that the proposed metric can be used for immediacy relevance comparison irrespective of the publication schedule of the articles. Spearman correlation was run to determine the relationship between the values of the proposed [Formula: see text] and traditional metrics ([Formula: see text]-index for conferences and IF for journals). A strong, positive monotonic correlation was observed between [Formula: see text] and H-index ([Formula: see text] = .67, [Formula: see text] = 17, [Formula: see text] < .01) for conferences and between [Formula: see text] and IF ([Formula: see text] = .65, [Formula: see text] = 20, [Formula: see text] < .01) for journals.

The effect of the COVID-19 pandemic on gendered research productivity and its correlates

Female researchers may have experienced more difficulties than their male counterparts since the COVID-19 outbreak because of gendered housework and childcare. To test it, we constructed a unique dataset that connects 15,280,382 scholarly publications and their 11,828,866 authors retrieved from Microsoft Academic Graph data between 2016 and 2020 to various national characteristics from LinkedIn, Johns Hopkins Coronavirus Resource Center, and Covid-19 Community Mobility Reports from Google. Using the dataset, this study estimated how much the proportion of female authors in academic journals on a global scale changed in 2020 (net of recent yearly trends). We observed a decrease in research productivity for female researchers in 2020, mostly as first authors, followed by last author position. We also identified various factors that amplified the gender gap by dividing the authors' backgrounds into individual, organizational and national characteristics. Female researchers were more vulnerable when they were in their mid-career, affiliated to the least influential organizations, and more importantly from less gender-equal countries with higher mortality and restricted mobility as a result of COVID-19. Our findings suggest that female researchers were not necessarily excluded from but were marginalized in research since the COVID-19 outbreak and we discuss its policy implications.

The Studies on Gallium Nitride-Based Materials: A Bibliometric Analysis

Gallium nitride (GaN) has a wide energy band gap and a high power density, efficiency, switching frequency, and electron carrier mobility, having broad applications in digitization. Because GaN has high potentials, this study performed a bibliometric analysis on the publications of GaN indexed in the Web of Science database from 1970 to 2023. A performance analysis of the 15,634 publications was performed using Harzing's Publish or Perish tool, while science mappings were performed with VOSviewer software. The results show that there has been an uptrend in the on-going research on GaN, especially in the past decade. Most of the documents are within the fields of physics, engineering, and materials science. The United States has the highest number of publications and the most impactful research. The United States is also actively collaborating with other countries to gain deeper insights into GaN. The analysis shows that the concentration of GaN research is slowly moving towards the development of high-voltage operations.

Research rating: Some technicalities

From time immemorial, the body of scientific knowledge has grown with incremental additions of research. Metrics-based research evaluation provides crucial information regarding research credibility that would be difficult to understand by means of individual expertise. h-index and its modifications give an approximate quantitative measure of research output. Furthermore, g-index, e-index, ħ-index and i10-index address various intricacies involving authorship. Altmetrics and Plum X metrics are newer usage metrics that put an additional weightage on the impact on social media, usage, capture and scholarly networking. Indirect evaluation of research can also be obtained from the Journal Impact Factor in which the research is published but with certain limitations. While the scientific community is still waiting for a unique one-stop solution based on a high-quality robust process to exert judgement on research, the Leiden Manifesto comprising ten principles for research assessment can act as a guiding tool for development of a comprehensive evaluation system.

Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API

Judging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve (i) the concept of journal, in one way or another, (ii) calculating arithmetic averages from extremely skewed distributions, and (iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an example dataset of all scholarly outputs from University of Jyväskylä spanning multiple years and disciplines. We also demonstrate how CPR can be efficiently implemented with Dimensions database API, and provide a publicly available web resource JYUcite, allowing anyone to retrieve CPR value for any output that has a DOI and is indexed in the Dimensions database. Finally, we discuss how CPR remedies failures of the Relative Citation Ratio (RCR), and remaining issues in situations where CPR too could potentially lead to biased judgement of value.

Using bibliometrics to evaluate outcomes and influence of translational biomedical research centers

Introduction

Federal grant funding to support infrastructure development of translational biomedical research centers is a form of public health intervention. Establishing rigorous methods for measuring center success and outcomes is essential to justify continued funding.

Methods

Bibliometric data compiled from a 5-year funding cycle of neurodegeneration and translational neuroscience research center were analyzed using the package bibliometrix for open-source software R and the NIH-developed research tool iCite.

Results

The research team and their collaborators (n = 485) produced 157 grant-citing publications from 2015-2020. The science was produced by small research teams clustered around three main communities of topics: Alzheimer's Disease, brain imaging, and neuropsychological testing in the elderly. Using the relative citation ratio, the publications produced by the research team were found to be influential when compared to other R01-funded publications.

Conclusion

Recent developments in bibliometric analysis expand beyond traditional measurement capabilities to better understand the characteristics, outcomes, and influences of research teams. These findings can be used to inform researchers and institutions about research team composition, productivity, and success. Measures of research influence may be used to justify return on investment to funders.

Financial Technology: Review of Trends, Approaches and Management

Technological innovation and digitization have posed a challenge to the financial sector globally. Fintech is the term used to designate the application of new technologies to financial services. The aim of the study is to analyse this research subject worldwide during the period 1975–2019. To this end, bibliometric techniques were applied to 2012 articles, obtaining findings of the productivity of scientific research, of the main thematic axes and their evolution. Scientific activity increased, mainly in the past decade, with 45% of publications. The main thematic areas were Business, Management and Accounting, Engineering, Social Sciences and Computer Science. Seven research lines were identified, aimed at analysing the aspects financial, economic, technology transfer, investment, innovation, partnerships and institutions and commercial. Future research lines should develop analyses on banking, financial services trade, territorial development, legal, management, research methodologies and the sustainability of financial technologies. It was verified that there is a growing and dynamic interest in scientific activity on financial technologies at an international level. The findings obtained are a complement to the knowledge of financial technologies and allow the relationship between science and technology to be established, and to inform the decision-making process.

Decision Support Systems in Construction: A Bibliometric Analysis

In recent years, the use of decision support systems for selecting sustainable construction materials in the building and commercial construction projects has received a great deal of attention. This paper reports an in-depth and systematic bibliometric analysis of the literature using Decision Support Systems (DSSs) for its construction, based on the papers published during the period from 2000 to 2016. The data were collected from two major databases, Web of Science (WoS) and Scopus, which included 2185 and 3233 peer reviewed articles, respectively. The analysis includes a general bibliometric analysis (publications output, country-wise research output, authorship, and collaboration patterns of these published articles). It also includes a citation analysis (keywords, most cited keywords, organizations, most cited articles, and average citations per article) and a network analysis (authors and countries). Overall, this study provides bibliometric insights and future research directions for researchers and practitioners who use DSSs.

Does bibliometric research confer legitimacy to research assessment practice? A sociological study of reputational control, 1972-2016

The use of bibliometric measures in the evaluation of research has increased considerably based on expertise from the growing research field of evaluative citation analysis (ECA). However, mounting criticism of such metrics suggests that the professionalization of bibliometric expertise remains contested. This paper investigates why impact metrics, such as the journal impact factor and the h-index, proliferate even though their legitimacy as a means of professional research assessment is questioned. Our analysis is informed by two relevant sociological theories: Andrew Abbott's theory of professions and Richard Whitley's theory of scientific work. These complementary concepts are connected in order to demonstrate that ECA has failed so far to provide scientific authority for professional research assessment. This argument is based on an empirical investigation of the extent of reputational control in the relevant research area. Using three measures of reputational control that are computed from longitudinal inter-organizational networks in ECA (1972-2016), we show that peripheral and isolated actors contribute the same number of novel bibliometric indicators as central actors. In addition, the share of newcomers to the academic sector has remained high. These findings demonstrate that recent methodological debates in ECA have not been accompanied by the formation of an intellectual field in the sociological sense of a reputational organization. Therefore, we conclude that a growing gap exists between an academic sector with little capacity for collective action and increasing demand for routine performance assessment by research organizations and funding agencies. This gap has been filled by database providers. By selecting and distributing research metrics, these commercial providers have gained a powerful role in defining de-facto standards of research excellence without being challenged by expert authority.

Do usage counts of scientific data make sense? An investigation of the Dryad repository

Purpose

The purpose of this paper is to evaluate the impact of scientific data in order to assess the reliability of data to support data curation, to establish trust between researchers to support reuse of digital data and encourage researchers to share more data.

Design/methodology/approach

The authors compared the correlations between usage counts of associated data in Dryad and citation counts of articles in Web of Science in different subject areas in order to assess the possibility of using altmetric indicators to evaluate scientific data.

Findings

There are high positive correlations between usage counts of data and citation counts of associated articles. The citation counts of article’s shared data are higher than the average citation counts in most of the subject areas examined by the authors.

Practical implications

The paper suggests that usage counts of data could be potentially used to evaluate scholarly impact of scientific data, especially for those subject areas without special data repositories.

Originality/value

The study examines the possibility to use usage counts to evaluate the impact of scientific data in a generic repository Dryad by different subject categories.

Two h-index benchmarks for evaluating the publication performance of medical informatics researchers

BACKGROUND

The h-index is a commonly used metric for evaluating the publication performance of researchers. However, in a multidisciplinary field such as medical informatics, interpreting the h-index is a challenge because researchers tend to have diverse home disciplines, ranging from clinical areas to computer science, basic science, and the social sciences, each with different publication performance profiles.

OBJECTIVE

To construct a reference standard for interpreting the h-index of medical informatics researchers based on the performance of their peers.

METHODS

Using a sample of authors with articles published over the 5-year period 2006-2011 in the 2 top journals in medical informatics (as determined by impact factor), we computed their h-index using the Scopus database. Percentiles were computed to create a 6-level benchmark, similar in scheme to one used by the US National Science Foundation, and a 10-level benchmark.

RESULTS

The 2 benchmarks can be used to place medical informatics researchers in an ordered category based on the performance of their peers. A validation exercise mapped the benchmark levels to the ranks of medical informatics academic faculty in the United States. The 10-level benchmark tracked academic rank better (with no ties) and is therefore more suitable for practical use.

CONCLUSIONS

Our 10-level benchmark provides an objective basis to evaluate and compare the publication performance of medical informatics researchers with that of their peers using the h-index.

A simple index for the high-citation tail of citation distribution to quantify research performance in countries and institutions

BACKGROUND

Conventional scientometric predictors of research performance such as the number of papers, citations, and papers in the top 1% of highly cited papers cannot be validated in terms of the number of Nobel Prize achievements across countries and institutions. The purpose of this paper is to find a bibliometric indicator that correlates with the number of Nobel Prize achievements.

METHODOLOGY/PRINCIPAL FINDINGS

This study assumes that the high-citation tail of citation distribution holds most of the information about high scientific performance. Here I propose the x-index, which is calculated from the number of national articles in the top 1% and 0.1% of highly cited papers and has a subtractive term to discount highly cited papers that are not scientific breakthroughs. The x-index, the number of Nobel Prize achievements, and the number of national articles in Nature or Science are highly correlated. The high correlations among these independent parameters demonstrate that they are good measures of high scientific performance because scientific excellence is their only common characteristic. However, the x-index has superior features as compared to the other two parameters. Nobel Prize achievements are low frequency events and their number is an imprecise indicator, which in addition is zero in most institutions; the evaluation of research making use of the number of publications in prestigious journals is not advised.

CONCLUSION

The x-index is a simple and precise indicator for high research performance.