| Title |
Metaphor Identification in Large Texts Corpora
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0062343 |
| Pubmed ID | |
| Authors |
Yair Neuman, Dan Assaf, Yohai Cohen, Mark Last, Shlomo Argamon, Newton Howard, Ophir Frieder |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 33% |
| Brazil | 1 | 5% |
| South Africa | 1 | 5% |
| Japan | 1 | 5% |
| Italy | 1 | 5% |
| United Kingdom | 1 | 5% |
| Czechia | 1 | 5% |
| Sweden | 1 | 5% |
| Switzerland | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 76% |
| Scientists | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Slovenia | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 130 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 18% |
| Researcher | 16 | 12% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 9 | 7% |
| Other | 33 | 24% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 36 | 26% |
| Computer Science | 25 | 18% |
| Social Sciences | 12 | 9% |
| Arts and Humanities | 10 | 7% |
| Psychology | 7 | 5% |
| Other | 12 | 9% |
| Unknown | 34 | 25% |