Scientometric Analysis of Research Publications of National Institutes of Technology

2020 ◽  
Vol 57 (2) ◽  
pp. 87
Author(s):  
Iranna M. Shettar ◽  
Gururaj S. Hadagali
Keyword(s):  
Scientometric Analysis ◽  
Research Publications ◽  
Institutes Of Technology

scholarly journals A scientometric analysis of research publications on male infertility and assisted reproductive technology

Andrologia ◽  
2020 ◽  
Author(s):  
Ashok Agarwal ◽  
Manesh Kumar Panner Selvam ◽  
Saradha Baskaran ◽  
Renata Finelli ◽  
Kristian Leisegang ◽  
...  
Keyword(s):  
Male Infertility ◽  
Assisted Reproductive Technology ◽  
Reproductive Technology ◽  
Scientometric Analysis ◽  
Research Publications

Scientometric Analysis of Liver Disease Research Publications in India

2019 ◽  
Vol 9 (S1) ◽  
pp. 80-83
Author(s):  
L. N. Uma Devi ◽  
K. Thirumal
Keyword(s):  
Liver Disease ◽  
Web Of Science ◽  
Research Output ◽  
Scientometric Analysis ◽  
Medical Field ◽  
Research Papers ◽  
Authorship Pattern ◽  
Disease Research ◽  
Research Publications

This paper discusses or analyses trends in Liver Disease research during from 2012-2017, the data have been collected from web of science database. Aim of the study to analyze source wise research output, year wise publications, authorship pattern, and country wise research. The study finds that articles occupies first place among various forms of sources, during the study period in the year 2016 published highest research output, INDIA have published highest publication among the Liver Disease, majority research papers published themes of Liver Disease in medical field.

scholarly journals Current Trend of Hydroxychloroquine Research Publications: A Scientometric Analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 195-211
Author(s):  
Jisha Antony ◽  
Raja Selvaraju ◽  
Mercy Clarance M
Keyword(s):  
Current Trend ◽  
Scientometric Analysis ◽  
Research Publications

scholarly journals Bibliometric and Scientometric Analysis of Scopus-Indexed Literature on Hemp (Cannabis sativa) Breeding

2020 ◽  
pp. 29-43
Author(s):  
Noel Ndlovu ◽  
Leah Banda ◽  
Clemence Muitire ◽  
Norman Munyengwa ◽  
Tatenda Mayaya
Keyword(s):  
Value Chain ◽  
Cannabis Sativa ◽  
Crop Improvement ◽  
Scale Up ◽  
Breeding Value ◽  
Scientometric Analysis ◽  
Research Publications ◽  
The Usa ◽  
Research Initiatives ◽  
Operational Constraints

The elevated research interest and increased cultivation of Hemp (Cannabis sativa) across the globe is significantly driven by its multidirectional industrial uses and medicinal properties. Scientific research publications focusing on hemp breeding plays a pivotal role in bridging the knowledge gap and opening new avenues for upscaling the efficiency of crop improvement initiatives. The identification of prevailing research trends and associations is critical in defining and mapping the trajectories of success in Hemp breeding. The advent of bibliometrics and scientometrics is currently providing a stead platform which fosters effective identification of current research patterns and examination of the applied methodologies, focus areas, and operational constraints. In the context of Hemp research, content assessments provide breeding initiatives with background data needed for exploring various traits of interest and for validating investments and related policies. The main thrust of this study is to perform a bibliometric and scientometric analysis of Scopus-indexed papers covering the field of ‘Hemp Breeding’, between calendar years 1908 and 2020. Data was analyzed using VOSviewer (Version 1.6.16) and Microsoft Excel (2019). The study found 152 papers composed of original articles (105, 69.08%), book chapters (23, 15.13%), conference papers (10, 6.58%), reviews (9, 5.92%), conference reviews (3, 1.97%) and books (2, 1.32%). A significant increment in research publications was observed after 1950. The assessment also indicated that most of the archived research was conducted or reported in the USA (13.82%), Italy (12.5%) and the Netherlands (11.18%). Furthermore, the highest number of papers over the studied period and topic were published by authors affiliated to Wageningen University & Research (16, 10.53%). Index keywords such as Cannabis sativa, hemp, genetic expression, genetic marker, and genetic diversity were covered extensively in the sampled journal editions. A comparative assessment of the results indicated that there is need to scale-up research initiatives targeting hemp trait improvements to cater for the projected high demand and climate change. This can be achieved through strengthening synergistic partnerships and knowledge exchanges across the hemp breeding value chain. This research will assist plant breeders in defining research requirements, determining evidence-based scientific gaps, and recognizing outstanding research institutions for potential intellectual sharing and cooperation.

scholarly journals Research Output of Thiagarajar College of Engineering, Madurai during 2014- 2018: A Scientometric Analysis using Excel Sheet

2020 ◽  
Vol 8 (2) ◽  
pp. 97-101
Author(s):  
L Radha
Keyword(s):  
Web Of Science ◽  
Research Output ◽  
Scientometric Analysis ◽  
H Index ◽  
Average Citation ◽  
Research Publications ◽  
College Of Engineering ◽  
The Web

This study examined the research publications of the faculty of Thiagarajar College of Engineering (TCE), Madurai, Tamilnadu, India. Data for this study have been collected from the Scopus and web of science databases for 2014-2018. Among 1270 papers published and indexed in the Scopus for five years and 437 papers published and indexed in the web of science. This paper shows how to use an excel sheet for calculating the h-index, i-10 index, average citation per year, cited rate, percentage of cited and non-cited paper, real average citation, etc.… Apart from the above analysis, this paper finds the overlap publications of Scopus and Web of Science.

Mapping of Scientific Articles on Brain Tumors: A Scientometric Study

2020 ◽  
Vol 10 (2) ◽  
pp. 26-34
Author(s):  
R. Sargunapathi ◽  
P. Vinayagamoorthy
Keyword(s):  
Brain Tumors ◽  
Scientometric Analysis ◽  
Editorial Material ◽  
Research Publications ◽  
Md Anderson ◽  
Prolific Authors ◽  
Brian Tumors ◽  
The University ◽  
Scientometric Study ◽  
The Brain

The study analyses the Brain Tumors research Publications in during 2009 to 2018 based on the Web of Science database. The objectives of the study were to perform a scientometric analysis of all brain tumors research publications by scientist. The criterion studies include an increase of publication, document wise distribution of records country-wise distribution of publications, recognition of the most prolific authors, praise highly journals and extremely motivated institutions and language wise distribution of publications. The results showed that 44604 of records were published in of records were published in the world. All most productive countries and their publications top 30 countries was top most contributed 10 places of India on Brian tumors research with 1613 (2.54%) records. Most of the articles were published in the form of articles, review, meeting abstracts, and editorial material. USA was the most productive country on Brain tumors. The study also found that only 21 authors were contributed above 100 numbers of articles and the author Wang Y with 246 publications has occupied the first position. The University Texas MD Anderson Cancer Centre was topmost top most contributed institution on Brain Tumors research with 782 records.

scholarly journals A Contextual Scientometric Analysis of Indonesian Biomedicine : Mapping The Potential of Basic Research Downstreaming

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Ria Hardiyati ◽  
Irene Muflikh Nadhiroh ◽  
Tri Handayani ◽  
V.M. Mesnan Silalahi ◽  
Rizka Rahmaida ◽  
...  
Keyword(s):  
Quantitative Research ◽  
Basic Research ◽  
Research Topic ◽  
Scientometric Analysis ◽  
Research Publication ◽  
Text Data ◽  
Domain Experts ◽  
Research Publications ◽  
Using Data ◽  
Research Stage

<p>A content analysis on Indonesian biomedical research publication is conducted based on text mining. The research is necessary to obtain a rich contextual overview of the development of biomedicine research in Indonesia for example in the context of the downstreaming potential of research publications. The results of text data processing using a computational model and bibliometric analysis will provide a richer contextual picture as a proxy to reveal the potential for downstreaming of basic research. Quantitative research is conducted using data sources from Scopus, Google Scholar and universities’s and scientific journal’s repository to analyse the performance at the meso and macro level. Interpretation of the results is qualitatively carried out within a FGD session with domain experts. An attempt is carried out to see the trajectory of series of research publications from basic research stage down to clinical trials. This effort results in an ability to show the research trajectory in anti-malaria drug development from the basic research which evolves to the clinical trial. This study reveals many discontinuities in the trajectory a research topic from basic research to downstreaming in drugs development in Indonesia.</p>

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