The usage analysis of Nanotechnology Databases

Document Type : مقالات پژوهشی

Authors

Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Purpose: The research purpose was to analyze the usage of each part of the Iranian nanotechnology databases and to analyze users’ information seeking behaviors regarding traffic sources.
Methodology: The research method was an analytical method using transaction log analysis. This study was performed through the analysis of the interaction between users and the database transaction files.
Findings: Results showed that Databases of professionals and Dissertations had more information and thus meet the needs of users more. Resource usage by return visitors was more than usage by new visitors. Return visitors had less Bounce Rate. Between traffic sources, the usage of search engines was more than direct. The most bounce rate was in using search engines. Page view is different among the two types of users (return users and new users). Bounce rate is very different in the two types of users. Also, the bounce rate is very different in the three types of traffic sources. Page view is different in the three types of traffic sources. The average duration of visits to each page is a little different in the three types of traffic sources.

Keywords


Abbasi, zohreh. (2006). Databases evaluation criteria. Nama, 6(1). (In Persian)
Alizadef, J. Marziyeh; Azadeh Tafreshi, Freidoun; Sharifmoghadam, Hadi. (2010). Informatio seeking behaviors of faculty members of Babol Islamic Azad University: use of the Internet and online databases in the second half 2008-2009. Scientific communication, 17(1). (In Persian)
Atilgan, D.; Ozlem (Gokkurt) Bayram.(2006). An Evaluation of Faculty Use of the DigitalLibrary at Ankara University, Turkey. The Journal of Academic Librarianship, 32(1), 86-93.
Carmona, C.J; Ramirez-Gallego, S.;Torres, F.;Bernal, E.;del Jesus, M.J.and Garcia, S.(2012).Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Systems with Applications, Volume 39, Issue 12, Pages 11243-11249 (http://www.sciencedirect.com/science/article/pii/S0957417412005696)
Davis,P.M. ; Solla, L. R. (2003). An IP-Level analysis of usage statistics for electronic journals in chemistry: making inferences about user behavior. Journal of the American society for information science and technology, 54(11).
Fang, Wei.(2007). Using Google Analytics for improving library website content and design: a case study. Library Philosophy and Practice(June), LPP Special Issue on Libraries and Google. http://works.bepress.com/wfang/1/
Hasan, Layla; Morris, Anne; Probets ,Steve.(2009). Using Google Analytics to Evaluate the Usability of E-Commerce Sites. M. Kurosu (Ed.): Human Centered Design, HCII 2009, LNCS 5619, 697–706.
Jamali Mahmuei, H. R. (2004). A complementary note on "web log analysis method. Informology, 1(3) p175. (In Persian)
Jamali, H. R.; Nicholas, D.; Huntington, P. (2005). The use and users of scholarly ejournals:A review of log analysis studies. Aslib Proceedings, 57 (6),554-571.
Jana, S. & Chatterjee S. (2004). Quantifying web-site visits using web statistics: an extended cybermetrics study. Online Information Retrieval.28(3): 191-199
Jansen, Bernard J.(2006). Search log analysis: What it is, what's been done, how to do it.Library& Information Science Research, 28, 407-432.
Lazar, J.(2003). The World Wide Web. In: J. Jacko and A. Sears (Eds.) The humancomputer interaction handbook: fundamentals, evolving technologies and emerging applications , Mahwah,
McClure, Charles R.; Mandel, Lauren H.; Weissenberger, Lynnsey K.(2012). Designing a user and usage database to promote, market, and demonstrate the value of selected statewide databases: The Florida Electronic Library as an example. Library Management, Vol. 33 Iss: 6/7, pp.365 – 373.
Mohajeri, fatemeh; alijanpour K. Mahbobeh. (2010). Evaluation the use of online databases by students of Babol Medical Sciences University. Epistemology, 2(8), p83-96. (In Persian)
Nicholas, D.; Huntington P.; Jamali H.R.; Tenopir C. (2006). Finding information in (very large) digital libraries: A deep log approach to determining differences in use according to method of access. Journal of Academic Librarianship, 32 (2), 119-126.
Nicholas, D.; Huntington, P.; Jamali, H. R.; Tenopir, C. (2006). What deep log analysis tells us about the impact of big deals: case study OhioLINK. Journal ofDocumentation, 62 (4), 482-508.
NJ: Lawrence Erlbaum, 714-730.
Plaza, Beatriz. (2009) Monitoring web traffic source effectiveness with Google Analytics: An experiment with time series, Aslib Proceedings, Vol. 61 Iss: 5, pp.474 – 482
Plaza,Beatriz. (2011). Google Analytics for measuring website performance. Tourism Management, 32(3), 477-481.
Plaza, Beatriz, Pilar Gonzalez Casimiro, M. Paz Moral Zuazo, and Idurre Ostolaza.(2011).Validating Google analytics tips for micro-firms. African Journal of Business Management 5(14):5681-5689. http://www.academicjournals.org/AJBM (accessed 20 Jan. 2014)
Powell, Ronald R. (2006). Basic research methods for librarians. (Najla Hariri, translator).Tehran: Scientific Publication Center, Islamic Azad University Science & Research Branch. P72. (In Persian)
Rainie, Lee; Jansen, Bernard J. (2009). Surveys as a Complementary Method for Web Log Analysis. in Jansen, Bernard J.; Spink, Amanda; Taksa, Isak (ED). Handbook of Research on Web Log Analysis, Hershey: Information Science Reference, 39-48.
Rajabali Beglou, R. (2007). Introduction to methods of log analysis: Transaction Log Analysis of electronic systems. Journal of library and information science, 3(10), p 181-204. (In Persian)
Rajabi, Abbas. (2009).The use of Web-based databases and electronic journals at the University of Imam Sadeq. RESEARCH ON INFORMATION SCIENCE AND PUBLIC LIBRARIES, 15(2), p193-216. (In Persian)
Ravid, G.; Bar-Ilan, J.; Baruchson-Arbib S.; Rafaeli S. (2007). Popularity and findability through log analysis of search terms and queries: The case of a multilingual public service website. Journal of Information Science, 33 (5), 567-583.
Roohani Rankoohi, M. T. (1993). Introduction to the database. Tehran: Jelveh. (In Persian)
Sadat, Maryam; Asareh Farideh. (2011). Evaluate the use of Islamic Azad university Shiraz branch Roznet digital library by faculty members for their information needs. Epistemology, 4(13), p25. (In Persian)
Soleimani, Hosein. (2010). Satisfaction and use of databases by faculty members of the Tabriz university. Scientific communication, 15(3). (In Persian)
Sotudeh, Hajar. (2004). The web log analysis method . Informology, 1(2) p67. (In Persian)
Wolfram D. (2008). Search characteristics in different types of Web-based IR environments: Are they the same?. Information Processing and Management, 44 (3), 1279-1292. www.nano.ir
Zavareghi, Rasool (2005). Web log analysis: a new method for evaluating websites ‌performance, case study of Irandoc website. Informology, 2(3,4) p78. (In Persian)
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