Title |
Identifying Audiences of E-Infrastructures - Tools for Measuring Impact
|
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Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0050943 |
Pubmed ID | |
Authors |
Daphne Duin, David King, Peter van den Besselaar |
Abstract |
Research evaluation should take into account the intended scholarly and non-scholarly audiences of the research output. This holds too for research infrastructures, which often aim at serving a large variety of audiences. With research and research infrastructures moving to the web, new possibilities are emerging for evaluation metrics. This paper proposes a feasible indicator for measuring the scope of audiences who use web-based e-infrastructures, as well as the frequency of use. In order to apply this indicator, a method is needed for classifying visitors to e-infrastructures into relevant user categories. The paper proposes such a method, based on an inductive logic program and a bayesian classifier. The method is tested, showing that the visitors are efficiently classified with 90% accuracy into the selected categories. Consequently, the method can be used to evaluate the use of the e-infrastructure within and outside academia. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Poland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 5% |
Brazil | 1 | 2% |
India | 1 | 2% |
Germany | 1 | 2% |
Mexico | 1 | 2% |
Belgium | 1 | 2% |
Nigeria | 1 | 2% |
United Kingdom | 1 | 2% |
Greece | 1 | 2% |
Other | 3 | 5% |
Unknown | 42 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 32% |
Librarian | 9 | 16% |
Student > Master | 8 | 14% |
Other | 7 | 13% |
Student > Ph. D. Student | 5 | 9% |
Other | 8 | 14% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 13 | 23% |
Computer Science | 12 | 21% |
Agricultural and Biological Sciences | 7 | 13% |
Medicine and Dentistry | 7 | 13% |
Business, Management and Accounting | 3 | 5% |
Other | 11 | 20% |
Unknown | 3 | 5% |