Search (4 results, page 1 of 1)

  • × author_ss:"Hemminger, B.M."
  1. Niu, X.; Hemminger, B.M.; Lown, C.; Adams, S.; Brown, C.; Level, A.; McLure, M.; Powers, A.; Tennant, M.R.; Cataldo, T.: National study of information seeking behavior of academic researchers in the United States (2010) 0.02
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    Abstract
    As new technologies and information delivery systems emerge, the way in which individuals search for information to support research, teaching, and creative activities is changing. To understand different aspects of researchers' information-seeking behavior, this article surveyed 2,063 academic researchers in natural science, engineering, and medical science from five research universities in the United States. A Web-based, in-depth questionnaire was designed to quantify researchers' information searching, information use, and information storage behaviors. Descriptive statistics are reported. Additionally, analysis of results is broken out by institutions to compare differences among universities. Significant findings are reported, with the biggest changes because of increased utilization of electronic methods for searching, sharing, and storing scholarly content, as well as for utilizing library services. Generally speaking, researchers in the five universities had similar information-seeking behavior, with small differences because of varying academic unit structures and myriad library services provided at the individual institutions.
  2. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.02
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    Abstract
    In an effort to understand how academic scientists seek information relevant to their research in today's environment of ubiquitous electronic access, a correlation framework is built and regression analysis is applied to the survey results from 2,063 academic researchers in natural science, engineering, and medical science at five research universities in the United States. Previous work has reported descriptive statistics about these scientists' information-seeking behavior. This study extends that work to examine relationships between scientists' information-seeking behaviors and their personal and environmental factors. Several regression models, including the Poisson model, the logit model, and the ordered logit model, are built to interpret the correlation among scientists' behaviors. In addition, exploratory factor analysis is used for data reduction. Overall, many factors were found to affect the specific information-seeking behaviors of scientists, including demographic, psychological, role-related, and environmental factors. Of the factors having an effect, academic position was the most important determinant of information behavior.
  3. Hemminger, B.M.: Introduction to the special issue on bioinformatics (2005) 0.01
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    Date
    22. 7.2006 14:19:22
  4. Hemminger, B.M.; Losi, T.; Bauers, A.: Survey of bioinformatics programs in the United States. (2005) 0.01
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    Date
    22. 7.2006 14:41:40