↓ Skip to main content

Mining Text Data

Overview of attention for book
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
2 X users
patent
6 patents
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
755 Dimensions

Readers on

mendeley
2697 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mining Text Data
Published by
Springer US, January 2012
DOI 10.1007/978-1-4614-3223-4
ISBNs
978-1-4614-3222-7, 978-1-4614-3223-4
Editors

Charu C. Aggarwal, ChengXiang Zhai

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 2,697 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 <1%
Germany 9 <1%
India 9 <1%
United Kingdom 8 <1%
Spain 8 <1%
Brazil 7 <1%
France 4 <1%
Portugal 4 <1%
China 4 <1%
Other 48 2%
Unknown 2583 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 658 24%
Student > Ph. D. Student 483 18%
Student > Bachelor 336 12%
Researcher 181 7%
Student > Doctoral Student 117 4%
Other 425 16%
Unknown 497 18%
Readers by discipline Count As %
Computer Science 1385 51%
Engineering 201 7%
Business, Management and Accounting 147 5%
Social Sciences 101 4%
Economics, Econometrics and Finance 49 2%
Other 246 9%
Unknown 568 21%