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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A modular framework for biomedical concept recognition
|
|---|---|
| Published in |
BMC Bioinformatics, September 2013
|
| DOI | 10.1186/1471-2105-14-281 |
| Pubmed ID | |
| Authors |
David Campos, Sérgio Matos, José Luís Oliveira |
| Abstract |
Concept recognition is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. The development of such solutions is typically performed in an ad-hoc manner or using general information extraction frameworks, which are not optimized for the biomedical domain and normally require the integration of complex external libraries and/or the development of custom tools. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 4 | 44% |
| United States | 2 | 22% |
| Germany | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Brazil | 2 | 2% |
| Portugal | 1 | 1% |
| Colombia | 1 | 1% |
| Australia | 1 | 1% |
| Netherlands | 1 | 1% |
| Switzerland | 1 | 1% |
| Mexico | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 84 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 22% |
| Researcher | 20 | 21% |
| Student > Ph. D. Student | 20 | 21% |
| Student > Bachelor | 7 | 7% |
| Professor | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 46% |
| Agricultural and Biological Sciences | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 13 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 November 2013.
All research outputs
#3,969,119
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#1,348
of 7,565 outputs
Outputs of similar age
#33,903
of 208,925 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 101 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 208,925 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 83% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.