| Title |
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods
|
|---|---|
| Published in |
EPJ Data Science, July 2016
|
| DOI | 10.1140/epjds/s13688-016-0085-1 |
| Authors |
Filipe N Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves, Fabrício Benevenuto |
X Demographics
The data shown below were collected from the profiles of 48 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 | 11 | 23% |
| United Kingdom | 5 | 10% |
| France | 4 | 8% |
| Italy | 3 | 6% |
| Germany | 3 | 6% |
| Netherlands | 2 | 4% |
| Brazil | 2 | 4% |
| Chile | 1 | 2% |
| Spain | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 12 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 52% |
| Scientists | 22 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 510 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Brazil | 2 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Cuba | 1 | <1% |
| Hungary | 1 | <1% |
| France | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 498 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 102 | 20% |
| Student > Master | 97 | 19% |
| Student > Bachelor | 49 | 10% |
| Researcher | 28 | 5% |
| Student > Postgraduate | 20 | 4% |
| Other | 75 | 15% |
| Unknown | 139 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 204 | 40% |
| Business, Management and Accounting | 28 | 5% |
| Engineering | 27 | 5% |
| Social Sciences | 22 | 4% |
| Psychology | 13 | 3% |
| Other | 57 | 11% |
| Unknown | 159 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2020.
All research outputs
#901,349
of 25,837,817 outputs
Outputs from EPJ Data Science
#71
of 456 outputs
Outputs of similar age
#17,083
of 373,450 outputs
Outputs of similar age from EPJ Data Science
#4
of 9 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 373,450 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.