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Multidisciplinary Information Retrieval

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Overall attention for this book and its chapters
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23 Mendeley
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Title
Multidisciplinary Information Retrieval
Published by
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), January 2012
DOI 10.1007/978-3-642-31274-8
ISBNs
978-3-64-231273-1, 978-3-64-231274-8
Editors

Salampasis, Michail, Larsen, Birger

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Greece 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Student > Master 5 22%
Student > Doctoral Student 3 13%
Lecturer 1 4%
Professor 1 4%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 17 74%
Social Sciences 2 9%
Mathematics 1 4%
Unknown 3 13%