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Fulltext Citation frequency and ethical issue

Ebrahim NA

Electron Physician, 2014;6(2):814-5.
PMID: 25763151 DOI: 10.14661/2014.814-815
Physical Activity and Aging Research: A Bibliometric Analysis

Müller AM, Ansari P, Ebrahim NA, Khoo S

J Aging Phys Act, 2016 07;24(3):476-83.
PMID: 26671908 DOI: 10.1123/japa.2015-0188

Physical activity and aging research has burgeoned in the past few decades. However, despite the increase in scholarly publications, no attempts have been made to summarize the publication landscape and identify work that has had great impact on physical activity and aging research. We conducted a bibliometric analysis and collected publication data from 1980 to February 6, 2015, in the Web of Science Core Collection. Of 9,935 publications, most were published after 2007 and almost 60% were in the category of geriatrics and gerontology or sport sciences. Highly cited publications (n = 45) were mostly authored by researchers from US institutions and were quantitative in nature. Publications that reported on the associations between physical activity and health, or effects of physical activity on health, in older adults made up 60% of the highly cited publications. We expect more scholars from various backgrounds and geographical regions to join the conversation on physical activity and aging.
Quantitative and Qualitative Bibliometric Scope Toward the Synthesis of Rose Oxide as a Natural Product in Perfumery

Ziarani GM, Mohajer F, Jamali SM, Ebrahim NA

Curr Org Synth, 2020;17(8):610-624.
PMID: 32703138 DOI: 10.2174/1872208314666200722161044

Rose Oxide is a monoterpene along with cyclic ether used in fragrance to produce rosy notes, in general, there are 4 stereoisomeric structures of the Rose Oxide, which the cis-configured Rose Oxide has a very unique and strong note in perfumery. In this review, several approaches were reported on account of the Rose Oxide applied in perfumery from 1864 to 2019 via quantitative and qualitative approaches.
35Year Research History of Cytotoxicity and Cancer: a Quantitative and Qualitative Analysis

Farghadani R, Haerian BS, Ebrahim NA, Muniandy S

Asian Pac J Cancer Prev, 2016;17(7):3139-45.
PMID: 27509942

Cancer is the leading cause of morbidity and mortality worldwide, characterized by irregular cell growth. Cytotoxicity or killing tumor cells that divide rapidly is the basic function of chemotherapeutic drugs. However, these agents can damage normal dividing cells, leading to adverse effects in the body. In view of great advances in cancer therapy, which are increasingly reported each year, we quantitatively and qualitatively evaluated the papers published between 1981 and December 2015, with a closer look at the highly cited papers (HCPs), for a better understanding of literature related to cytotoxicity in cancer therapy. Online documents in the Web of Science (WOS) database were analyzed based on the publication year, the number of times they were cited, research area, source, language, document type, countries, organizationenhanced and funding agencies. A total of 3,473 publications relevant to the target key words were found in the WOS database over 35 years and 86% of them (n=2,993) were published between 20002015. These papers had been cited 54,330 times without self citation from 1981 to 2015. Of the 3,473 publications, 17 (3,557citations) were the most frequently cited ones between 2005 and 2015. The topmost HCP was about generating a comprehensive preclinical database (CCLE) with 825 (23.2%) citations. One third of the remaining HCPs had focused on drug discovery through improving conventional therapeutic agents such as metformin and ginseng. Another 33% of the HCPs concerned engineered nanoparticles (NPs) such as polyamidoamine (PAMAM) dendritic polymers, PTX/SPIOloaded PLGAs and cell derived NPs to increase drug effectiveness and decrease drug toxicity in cancer therapy. The remaining HCPs reported novel factors such as miR205, Nrf2 and p27 suggesting their interference with development of cancer in targeted cancer therapy. In conclusion, analysis of 35year publications and HCPs on cytotoxicity in cancer in the present report provides opportunities for a better understanding the extent of topics published and may help future research in this area.
Fulltext Bibliometric Analysis and Visualization of Academic Procrastination

Tao X, Hanif H, Ahmed HH, Ebrahim NA

Front Psychol, 2021;12:722332.
PMID: 34733204 DOI: 10.3389/fpsyg.2021.722332

Numerous students suffer from academic procrastination; it is a common problem and phenomenon in academic settings. Many previous researchers have analyzed its relationships with other factors, such as self-regulation and academic success. This paper aims to provide a full outline of academic procrastination and explore the current hot spots and trends. Bibliometrix and VOSviewer were used to conduct quantitative analysis. The data was collected from the Web of Science core collection database, which contains 1,240 articles from the years 1938 to 2021. The analysis shows that the publication of articles on academic procrastination has been rapidly increasing since 1993. In terms of the most influential countries and institutions, the United states took a prominent lead among all countries, and the most productive institutions in this area were the University of Washington and University of California, Los Angeles. By analyzing the authors, we see that most authors like working with a few collaborators, leading to main groups of authors, such as Murat Balkis and June J. Pilcher. The most frequently cited author was Esther D. Rothblum. Based on the co-citation journals network, Personality and Individual Differences was the prolific and influential journal referring to the number of citations and articles it received. The VOSviewer tool identified the hot spots of academic procrastination, which were mainly distributed as follows: (a) procrastination, (b) academic procrastination, (c) self-regulation, (d) academic performance, and (e) motivation. Therefore, this paper is helpful for scholars and practitioners to know the trend of academic procrastination research comprehensively.
Impact of Article Page Count and Number of Authors on Citations in Disability Related Fields: A Systematic Review Article

Ahmed A, Adam M, Ghafar NA, Muhammad M, Ebrahim NA

Iran J Public Health, 2016 Sep;45(9):1118-1125.
PMID: 27957456

BACKGROUND: Citation metrics and total publications in a field has become the gold standard for rating researchers and viability of a field. Hence, stimulating demand for citation has led to a search for useful strategies to improve performance metric index. Meanwhile, title, abstract and morphologic qualities of the articles attract researchers to scientific publications. Yet, there is relatively little understanding of the citation trend in disability related fields. We aimed to provide an insight into the factors associated with citation increase in this field. Additionally, we tried to know at what page number an article might appear attractive to disability researchers needs. Thus, our focus is placed on the article page count and the number of authors contributing to the fields per article.
METHODS: To this end, we evaluated the quantitative characteristics of top cited articles in the fields with a total citation (≥50) in the Web of Science (WoS) database. Using one-way independent ANOVA, data extracted spanning a period of 1980-2015 were analyzed, while the non-parametric data analysis uses Kruskal-Walis test.
RESULTS: Articles with 11 to 20 pages attract more citations followed by those within the range of zero to 10. Articles with upward 21 pages are the least cited. Surprisingly, articles with more than two authors are significantly (P<0.05) less cited and the citation decreases as the number of authors increased.
CONCLUSION: Collaborative studies enjoy wider utilization and more citation, yet discounted merit of additional pages and limited collaborative research in disability field is revealed in this study.
Fulltext A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis

Zhang B, Rahmatullah B, Wang SL, Zhang G, Wang H, Ebrahim NA

J Appl Clin Med Phys, 2021 Oct;22(10):45-65.
PMID: 34453471 DOI: 10.1002/acm2.13394

PURPOSE: Medical images are important in diagnosing disease and treatment planning. Computer algorithms that describe anatomical structures that highlight regions of interest and remove unnecessary information are collectively known as medical image segmentation algorithms. The quality of these algorithms will directly affect the performance of the following processing steps. There are many studies about the algorithms of medical image segmentation and their applications, but none involved a bibliometric of medical image segmentation.
METHODS: This bibliometric work investigated the academic publication trends in medical image segmentation technology. These data were collected from the Web of Science (WoS) Core Collection and the Scopus. In the quantitative analysis stage, important visual maps were produced to show publication trends from five different perspectives including annual publications, countries, top authors, publication sources, and keywords. In the qualitative analysis stage, the frequently used methods and research trends in the medical image segmentation field were analyzed from 49 publications with the top annual citation rates.
RESULTS: The analysis results showed that the number of publications had increased rapidly by year. The top related countries include the Chinese mainland, the United States, and India. Most of these publications were conference papers, besides there are also some top journals. The research hotspot in this field was deep learning-based medical image segmentation algorithms based on keyword analysis. These publications were divided into three categories: reviews, segmentation algorithm publications, and other relevant publications. Among these three categories, segmentation algorithm publications occupied the vast majority, and deep learning neural network-based algorithm was the research hotspots and frontiers.
CONCLUSIONS: Through this bibliometric research work, the research hotspot in the medical image segmentation field is uncovered and can point to future research in the field. It can be expected that more researchers will focus their work on deep learning neural network-based medical image segmentation.