| Title |
Towards Semantically Sensitive Text Clustering: A Feature Space Modeling Technology Based on Dimension Extension
|
|---|---|
| Published in |
PLOS ONE, March 2015
|
| DOI | 10.1371/journal.pone.0117390 |
| Pubmed ID | |
| Authors |
Yuanchao Liu, Ming Liu, Xin Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Librarian | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 24% |
| Psychology | 2 | 10% |
| Social Sciences | 2 | 10% |
| Linguistics | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 7 | 33% |