Scientific productivity of Punjab Agricultural University (Ludhiana) in agricultural sciences : A bibliometric study

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The paper makes a bibliometric assessment of the scientific output of the Punjab Agricultural University (PAU) in agricultural sciences for a period of 20 years from 2003-2022. Data for the study were downloaded from the Scopus database of the Elsevier. To identify the papers published by the university, a search was conducted in the Scopus database using Punjab Agricultural University in the affiliation tag for the period 2003-2022. The downloaded data identified 6016 research publications published by PAU during the study period of 2003-2022. The growth pattern of publications output during the period under study is inconsistent but shows a growing trend of output. The highest number of articles was produced in the last two year block of 2021-2022. Of the total output, about 48.8% papers appeared in Indian journals and remaining 51.2% in journals originating from other developing and developed nations of the world. Only a small proportion of articles appeared in high and very high impact factor journals. “Agricultural Research Journal” published by the PAU was the most preferred choice of communication of research results by the scholars of the university. The study provides deep insights into research contributions and trends of output of the university and is the first study related to assess scientific productivity of PAU in agricultural sciences using different bibliometric indicators.

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After getting indexed by scientific databases - Web of Science, Journal Citation Reports - the obtained scientific performance of the journal needs to be kept up. The aim of this article is to analyse citation numbers based on different bibliometric indicators between 2012 and 2016 comparing data with an article published in 2012. Authors evaluated issues of Orvosi Hetilap published in 2013-2015 and searched data in various international databases. Number of citations, quality of citing journals were analysed based on the official 2015-2016 impact factor of Orvosi Hetilap. Scientific performance of the journal was evaluated according to data of SCImago webpage and Scopus database as well. The official 2016 impact factor of Orvosi Hetilap is 0,349 which is the highest value compared with the previous factors. The articles of Orvosi Hetilap are cited by international authors and high impact factor journals, too. Further, more than half of the publications cited are open access. The most frequently cited categories are original and review articles, and case reports. Scientific performance of Orvosi Hetilap is promising according to indicators of SCImago webpage and Scopus database. Mean self-citation rate of the journal is about 30%. Its h-index is 7 in Web of Science Core Collection, and 19 in Scopus database. Citation analysis of this article shows that citation numbers and various bibliometric indicators can increase in a short period, but drastic changes can only happen in a long period with keeping and pushing the obtained values, and focusing on the further development of the journal. Orv Hetil. 2018; 159(30): 1226-1234.

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1588 Background: Prior studies have shown disparities in federal funding allocation by cancer site after accounting for mortality, incidence, and person-years of life lost. Whether disparities exist in publications in high impact factor journals is unknown. The aim of this study is to analyze research publications in high impact factor journals by cancer site relative to their burden from 2000 to 2018. Methods: Abstracts from the top 55 impact factor journals from 2000 to 2018 were extracted from PubMed. We developed an algorithm to search the title of the abstract to determine whether the abstract was about cancer and identify the cancer type. The algorithm was validated against the gold standard of human review in 1143 abstracts and yielded a sensitivity and a specificity of &gt;95%. An article proportion for each cancer site was calculated (abstracts for a cancer site / total cancer abstracts). Article proportion was compared to cancer site-specific incidence, mortality and lethality from NCI’s SEER database using scatter plots and non-parametric Wilcoxon signed rank test. Results: We identified 128,377 articles; 31,045 (24%) were about cancer. Cancers with the most publications in high impact factor journals were breast (22%), lung (11%), and colorectal (10%) cancer. Breast, lung and colorectal cancer were also well represented in high impact factor journals compared to their incidence, mortality, and lethality. Gynecologic (ovarian, cervical, and endometrial), pancreatic, hepatobiliary, and prostate cancers were poorly represented in all 3 metrics. Breast, lung, and colorectal cancer ranked in the top half of Article to Lethality scores, while the gynecologic, pancreatic, and hepatobiliary cancers were in the bottom half (p &lt;0.05 for all comparisons). Comparison of rankings by lethality versus by funding indicates relative underfunding of the gynecologic, pancreatic, hepatobiliary, and prostate cancers. Conclusions: Research publications in high impact factor journals by cancer site are not proportionate to individual societal cancer burden. Significant disparities exist between breast, lung, and colorectal cancer when compared to gynecologic, pancreatic, hepatobiliary, and prostate cancers relative to their disease burden. Underfunding of these cancer sites likely contributes to this publication gap.[Table: see text]

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Quantitative measuring of research output of universities of Punjab in sciences based on scopus database (Period 1991–2014)
  • Jan 1, 2017
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  • Sangeeta Aggarwal + 1 more

The paper brings out the results of a bibliometric study of research output of eight universities of Punjab namely Panjab University (PU), Punjabi University (PBU), Guru Nanak Dev University (GNDU), Punjab Agriculture University (PAU), Thapar University, IKG Punjab Technical University, Central University Bhatinda, and Lovely professional university in sciences. The analysis has been made for the two periods of time i.e. 1991–2002 and 2003–2014 for each university. The research activity of each university has been determined in terms of total publications, year wise distribution of papers, citations, authorship pattern, impact factor, h-index, collaborations within institute and foreign etc. The progress of each university has been compared between the periods of two decades and accordingly the ranking to the universities has been given both in terms of publication number and also in terms of total citations. In terms of h-index of each university, PU, GNDU and PAU were first second and third for the period 1991–2002 but for the period 2003–2014, PBU ranks third after PU and GNDU.

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ENGLISH
  • May 1, 2008
  • DESIDOC Journal of Library &amp; Information Technology
  • K.P Singh

This research is a report of the findings of a study of the information seeking behaviour of agricultural scientists working in the Indian Council of Agriculture Research (ICAR) institutions of Delhi, and Punjab Agricultural University, Ludhiana. A structured questionnaire was developed to explore the information seeking behaviour of agricultural scientists. Data collected were analysed using the latest version of MS-Excel for appropriate statistical procedures for description (frequencies, per cent, means, and standard deviations), etc. The paper discusses the findings of various strategies and procedures adopted by the agricultural scientists in meeting their information requirement. The agricultural scientists were asked torank the information sources indicating their order of priority while seeking information. They were askedto use a scale in order to their priority on the basis of I, II and III. The results show that agricultural scientists have expressed great dependence in meeting their information requirement on their institutional library/information centre. Seventy-two per cent of the respondents for all categories of agricultural scientists preferred their library/information centre as the most preferred source. For accessing information agricultural scientists highly depend on the library collection, followed by the personal collection, collection of their supervisor and of colleagues in order of decreasing priority.http://dx.doi.org/10.14429/djlit.28.3.175

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