ABSTRACT
Our goal is to propose an alternative retrieval system of academic documents based on researcher's behavior in practice. In this study, a questionnaire survey was conducted. Question items were developed from findings in the previous observational study for researcher's behavior. From the results of 46 respondents, the top three elements checked in the search results were title, abstract, and the full-text version. They also checked structure "Introduction" in the full-text rather than other structures when they found previous research in an unfamiliar field. These results indicate that researchers use different ways for selecting documents based on the type of documents they look for.
- S. Liyana and A. Noorhidawati. 2014. How graduate students seek for information: Convenience or guaranteed result? Malaysian Journal of Library &Information Science 19, 2 (Mar. 2014), 1--15.Google Scholar
- Christine Wolff-Eisenberg, Alisa B. Rod, and Roger C. Schonfeld. 2016. Ithaka S+R US Faculty Survey 2015 (Apr. 2016).Google Scholar
- Kumaripaba Athukorala, et al. 2013. Information-seeking behaviors of computer scientists: Challenges for electronic literature search tools. Proceedings of the Association for Information Science and Technology 50, 1 (2013), 1--11. Google ScholarDigital Library
- Yasuko Hagiwara, et al. 2016. A preliminary study and analysis to identify key elements in document selection. In ISIC: Information Seeking in Context 2016, Zadar, Croatia (Sept. 2016).Google Scholar
- Yasuko Hagiwara, et al. 2015. An experiment to identify how researchers select documents from search results. In Proceedings of CiSAP Workshop (The annual meeting of the Consortium of iSchools Asia-Pacific) 2015 (Dec. 2015), 8--11.Google Scholar
- Yasuko Hagiwara, et al. 2017. Identifying key elements of search results for document selection in the digital age: An Observational Study. In Digital Libraries: Data, Information, and Knowledge for Digital Lives. ICADL 2017, Lecture Notes in Computer Science, Vol. 10647. Springer, Cham, 237--242.Google Scholar
- M. Macedo-Rouet, J.-F. Rouet, C. Ros, and N. Vibert. 2012. How do scientists select articles in the PubMed database? An empirical study of criteria and strategies. European Review of Applied Psychology 62, 2 (Apr. 2012), 63--72.Google ScholarCross Ref
- Peiling Wang and Dagobert Soergel. 1998. A cognitive model of document use during a research project. Study I. Document selection. Journal of the American Society for Information Science 49, 2 (Feb. 1998), 115--133. Google ScholarDigital Library
Index Terms
- Which Parts of Search Results do Researchers Check when Selecting Academic Documents?
Recommendations
Highly cited researchers: a moving target
Highly cited researchers are a category of researchers defined by scientometric rules relating to counts of citations to their scholarly articles. The designation often refers to researchers identified according to scientometric rules specified by the ...
Analyzing information systems researchers' productivity and impacts: A perspective on the H index
Quantitative assessments of researchers' productivity and impacts are crucial for the information systems (IS) discipline. Motivated by its growing popularity and expanding use, we offer a perspective on the h index, which refers to the number of papers ...
Microsoft Academic (Search): a Phoenix arisen from the ashes?
In comparison to the many dozens of articles reviewing and comparing (coverage of) the Web of Science, Scopus, and Google Scholar, the bibliometric research community has paid very little attention to Microsoft Academic Search (MAS). An important reason ...
Comments