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 to rank the information sources indicating their order of priority while seeking information. They were asked to 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.
This study provides a bibliometric account of global deep web research published from 1997 to 2019. A total of 1995 records were imported from the Scopus database in a bibtex file. The bibliometrix package in RStudio was used for analyses. Publication Growth, Citations, Authorship, Country and Affiliations has been analysed. It was found that deep web research had a slow growth rate. In the last four years it has seen a recovery in the growth rate. Furthermore, this study shows the distribution of highly cited papers in the field over 23 years. It shows the country and institutional affiliation pattern of prolific authors. It also presents the most preferred sources, search terms and preferred medium of research communication. It is found that deep web research had a slow growth rate, but since 2016 it is picking up. China is the leading contributor of publications followed by the United States of America, Japan, and the United Kingdom. India is the fifth largest contributor. Contribution of citable publications has been led by Canada and USA with 81.9 per cent of efficiency followed by Australia (79.7 %), France (73.4 %) and Spain (73.1 %). It is also found that most of the prolific authors (by number of publications) do not appear in highly cited publications’ list. Deep web researchers mostly preferred using conference publications to communicate their findings. ‘Machine Learning’ and ‘cryptomarkets’ are two contemporarily popular terms being used by deep web researchers also, which indicates interest towards these topics.
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