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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Concept annotation in the CRAFT corpus
|
|---|---|
| Published in |
BMC Bioinformatics, July 2012
|
| DOI | 10.1186/1471-2105-13-161 |
| Pubmed ID | |
| Authors |
Michael Bada, Miriam Eckert, Donald Evans, Kristin Garcia, Krista Shipley, Dmitry Sitnikov, William A Baumgartner, K Bretonnel Cohen, Karin Verspoor, Judith A Blake, Lawrence E Hunter |
| Abstract |
Manually annotated corpora are critical for the training and evaluation of automated methods to identify concepts in biomedical text. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 3 | 75% |
| Netherlands | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Australia | 2 | 1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Russia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 140 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 23% |
| Student > Ph. D. Student | 35 | 22% |
| Student > Master | 16 | 10% |
| Professor | 10 | 6% |
| Student > Bachelor | 10 | 6% |
| Other | 33 | 21% |
| Unknown | 18 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 39% |
| Agricultural and Biological Sciences | 23 | 15% |
| Biochemistry, Genetics and Molecular Biology | 14 | 9% |
| Medicine and Dentistry | 9 | 6% |
| Linguistics | 7 | 4% |
| Other | 20 | 13% |
| Unknown | 23 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 October 2018.
All research outputs
#5,417,177
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#1,950
of 7,247 outputs
Outputs of similar age
#37,654
of 164,608 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 91 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% 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 164,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.