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A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch
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A Guided Tour of the Issues and Trends: 13th Annual Health Sciences Lively Lunch

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presentation by Deborah Blecic, Bibliographer for the Life and Health Sciences, Associate Prof., University of Illinois at Chicago Library. …

presentation by Deborah Blecic, Bibliographer for the Life and Health Sciences, Associate Prof., University of Illinois at Chicago Library.

Part of the lively lunch program at the Charleston Conference on Friday, November 8, 2013.

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  • 1. Methods of Measurement of Health Sciences Journal Use Deborah Blecic 11/8/2013 Health Sciences Lively Lunch Charleston Conference
  • 2. A Recent UIC Study De Groote, Sandra L., Deborah D. Blecic and Kristin E. Martin. “Measures of Health Sciences Journal Use: A Comparison of Vendor, Link-Resolver and Local Citation Statistics”, Journal of the Medical Library Association, 101(2): 110-119, April 2013. Found a strong Spearman Rank-Order Correlation among the three measures
  • 3. Results – correlation coefficients Link Resolver/ Vendor Data Subsets All Journals 1-25th Percentile of titles (Link-resolver use ≤26) 25th-75th Percentile of titles (Link-resolver use ≥27-≤214) 75th -100th Percentile of titles (Link-resolver use ≥215) 25th -100th Percentile of titles (Link-resolver use ≥27) No. of Titles Link Resolver/ Citation Vendor/ Citation Spearman’s Correlation Spearman’s Correlation Spearman’s Correlation 2619 .843 .752 .726 663 .454 .392 .311 1302 .563 .408 .455 654 .586 .511 .598 1956 .703 .581 .622
  • 4. Application of Findings • Link-resolver data is on average 22-23% of vendor data • Link-resolver data correlates with vendor use statistics and thus can aid with collection development decisions if vendor data cannot be obtained. • Link-resolver data can be used to identify journals that need further evaluation for retention decisions. If a journal has a high-link resolver count, no further evaluation is necessary. • This data analysis can be used to identify account and linking problems also.
  • 5. Sample of titles with anomalous results Title LinkResolver Vendor Citation Amer. Journal of Clinical Nutrition 1,295 0 140 Biochemistry (Easton) 935 0 364 Infection and Immunity 142 0 122 Internet J. of Peds. & Neonatology 0 301 0 J. For Specialists in Ped. Nursing 0 799 0 Critical Care 665 19 21 Diabetes Care 1,905 730 190 Journal of Studies on Alcohol 520 496 38 British Journal of Ophthalmology 508 512 35 Gerontologist 590 608 26
  • 6. Another UIC study About metrics developed to compare “Big Deal” journal packages: Blecic, Deborah D., Stephen E. Wiberley Jr., Joan B. Fiscella, Sara Bahnmaier-Blaszczak, Rebecca Lowery. “Deal or No Deal? Evaluating Big Deals and Their Journals”, College & Research Libraries, 74(2): 178-194, March 2013.
  • 7. Full-text databases and use data
  • 8. Big Deals findings in health sciences: about a quarter of the titles, about half the SFTARs Big Deal 1 Big Deal 2 Big Deal 3
  • 9. Concerns about COUNTER journal data Overview: Bucknell, Terry. “Garbage In, Gospel Out: Twelve Reasons Why Librarians Should not Accept Cost-per-Download Figures at Face Value”, The Serials Librarian, 63(2): 192-212, Aug/Sept 2012. Issues include variability in the number of years and articles, news item counts the same as a research article, usage spikes, journal transfers and title changes, open access articles, and the influence of the platform design.
  • 10. Platform Effects on E-journal statistics • First reported by Davis and Price in 2006, study of shared data from 32 research libraries in US, UK, and Sweden • Some publishers connect a user initially to an abstract, others to the html version of the article. In the latter case, if user then clicks on pdf, one use generates two SFTAR counts. Other variables affect ratio also. • At UIC, we have found a from a low of 1.12 pdfs per html to 18.87 so far, though we have not yet done the analysis for all of our vendors. • Not fixed in COUNTER4 reporting, seems unlikely it can be • We can’t know for sure if the user was satisfied with the html, so Bucknell recommends looking at the range of use for just pdf to pdf plus html.
  • 11. Questions? dblecic@uic.edu
  • 12. Bibliography • De Groote, Sandra L., Deborah D. Blecic and Kristin E. Martin. “Measures of Health Sciences Journal Use: A Comparison of Vendor, Link-Resolver and Local Citation Statistics,” Journal of the Medical Library Association, 101(2): 110-119, April 2013. • Blecic, Deborah D., Stephen E. Wiberley Jr., Joan B. Fiscella, Sara BahnmaierBlaszczak, Rebecca Lowery. “Deal or No Deal? Evaluating Big Deals and Their Journals,” College & Research Libraries, 74(2): 178-194, March 2013. • Philip M. Davis and Jason S. Price, “eJournal Interface Can Influence Usage Statistics: Implications for Libraries, Publishers, and Project COUNTER,” Journal of the American Society for Information Science and Technology, 57(9):1243-1248, July 2006. • Bucknell, Terry. “Garbage In, Gospel Out: Twelve Reasons Why Librarians Should not Accept Cost-per-Download Figures at Face Value,” The Serials Librarian, 63(2): 192212, Aug/Sept 2012.

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