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.
Mendeley readers
| Chapter title |
Mining Text Streams
|
|---|---|
| Chapter number | 9 |
| Book title |
Mining Text Data
|
| Published by |
Springer, Boston, MA, January 2012
|
| DOI | 10.1007/978-1-4614-3223-4_9 |
| Book ISBNs |
978-1-4614-3222-7, 978-1-4614-3223-4
|
| Authors |
Charu C. Aggarwal |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 119 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Student > Master | 28 | 23% |
| Student > Bachelor | 9 | 8% |
| Researcher | 7 | 6% |
| Other | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 27 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 38% |
| Engineering | 15 | 13% |
| Business, Management and Accounting | 7 | 6% |
| Social Sciences | 5 | 4% |
| Linguistics | 3 | 3% |
| Other | 14 | 12% |
| Unknown | 31 | 26% |