A bibliometric trend analysis of regenerative medicine research output in Iran: Comparison with the global research output

Samadikuchaksaraei, Alí; Mohammadhassanzadeh, Hafez; Shokraneh, Farhad; Osguei, Nushin Karkuki

doi:10.1016/j.matpr.2018.04.157

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…It was estimated that the number of publications would raise continuously and rapidly, and more than 250 papers might be published in 2022 according to the fitted formula. Compared to many bibliometric studies revealing a linear growing trend [25–27], the growing tendency of nanoscience‐ferroptosis papers were encouraging. It was inferred that the study of this field was far from saturation, and more impressive works could be expected in the near future.…”

Section: Resultsmentioning

confidence: 90%

Explicating the publication paradigm by bibliometric approaches: A case of interplay between nanoscience and ferroptosis

Huang

Wang

Shu

et al. 2022

Health Care Science

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Background: Ferroptosis has been widely investigated as an emerging drug target, while its combination with nanoscience provides bourgeoning application prospects. The development of ferroptosis regulating nanomedicines have attracted worldwide attentions in recent years. It would be meaningful to describe the relevant publication paradigm.Methods: Herein, a bibliometric analysis was performed using the database of Web of Science Core Collection to clarify the publication paradigm. The development of related publications in the last 6 years was described, and the revolutionary trends were figured out. Ultimately, the possible future exploration directions were proposed. Results:The bibliometric analysis of 327 documents of interest indicated that the main research focus was in multiple fields including Materials science, Science & technology, Chemistry, and Pharmacology & pharmacy. With

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Section: Resultsmentioning

confidence: 90%

Explicating the publication paradigm by bibliometric approaches: A case of interplay between nanoscience and ferroptosis

Huang

Wang

Shu

et al. 2022

Health Care Science

View full text Add to dashboard Cite

show abstract

“…These tools included the mean, Coefficient of variance (CV), Standard Deviation (SD), Gini coefficient, diffusion model, regression model, and Kolmogorov Smirnov (K-S) statistical test. These papers were studied by Abouchedid and Abdelnour (2015), Bai and Hudson (2010), Bezzaoucha et al (2014), Drivas et al (2015), Duque et al (2005), Fox (1983), Gayan and Singh (2019), Gupta et al (1998), He et al (2009), Hollis (2001), Hong et al (2007), Hughes (1999), Lafuente and Berbegal-Mirabent (2019), Marisha et al (2017), Muthukrishnan and Senthilkumar (2017), Neri and Rodgers (2006), Samadikuchaksaraei et al (2018), Sevukan et al (2007), Valadkhani and Ville (2009), and Wanner et al (1981).…”

Section: Use Of Metrics—(ai) (Ci) (Rqi) (Pei) and (Pai)mentioning

confidence: 99%

“…Samadikuchaksaraei et al (2018) studied the research output of regenerative medicine in Iran in comparison to other world regions. He used the linear regression model (ANCOVA Model) to determine the best fit linear model to explain the general growth in different world regions.…”

Section: Use Of Metrics—(ai) (Ci) (Rqi) (Pei) and (Pai)mentioning

confidence: 99%

Metrics employed in the evaluation of research productivity: A systematic literature review

Mahapatra

Sahoo

2022

Journal of Librarianship and Information Science

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The present paper makes a systematic review of 131 articles on research productivity basing upon a model developed by Denyer and Tranfield. The current review paper analyzed the quantitative and qualitative dimensions of the sample literature in the field of research productivity. The quantitative analysis incorporates the chronological distribution of articles, keyword wise distribution, form wise distribution, discipline wise distribution, publisher wise distribution, data sources used in the articles, most prolific journals of the publications and qualitative dimensions studied are top-cited articles and all the metrices used in these articles. The paper is based upon literature retrieved from Scopus bibliographic database and other online databases like Emerald, Taylor & Francis, Google Scholar, JSTOR, ProQuest, and EBSCO for full-text articles. It was revealed that there is significant growth in the number of articles during the fourth decade (2011–2020) whereas the highest numbers of citations (1530) have been received during the third decade from 2001 to 2010. Journal articles appeared to be the predominant source of information. A wide range of metrices found to be used in the sample literature to analyze the research productivity namely basic metrics, metrics dealing with growth, collaboration and metrics at institute level and author level metrics. It will serve as a reference tool to the scholars and practitioners in the field who will be acquainted with the publications on research productivity as well as various metrices, laws of bibliometrics, statistical tools, used in the articles.

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A bibliometric trend analysis of regenerative medicine research output in Iran: Comparison with the global research output

Cited by 2 publications

References 2 publications

Explicating the publication paradigm by bibliometric approaches: A case of interplay between nanoscience and ferroptosis

Explicating the publication paradigm by bibliometric approaches: A case of interplay between nanoscience and ferroptosis

Metrics employed in the evaluation of research productivity: A systematic literature review

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