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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gimli: open source and high-performance biomedical name recognition
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-54 |
| Pubmed ID | |
| Authors |
David Campos, Sérgio Matos, José Luís Oliveira |
| Abstract |
Automatic recognition of biomedical names is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. In recent years, various solutions have been implemented to tackle this problem. However, limitations regarding system characteristics, customization and usability still hinder their wider application outside text mining research. |
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 % |
|---|---|---|
| Portugal | 2 | 50% |
| Norway | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 4 | 4% |
| United States | 4 | 4% |
| Brazil | 2 | 2% |
| Spain | 2 | 2% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 88 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 25% |
| Student > Master | 19 | 18% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Bachelor | 10 | 9% |
| Other | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 51% |
| Agricultural and Biological Sciences | 21 | 20% |
| Engineering | 6 | 6% |
| Linguistics | 3 | 3% |
| Immunology and Microbiology | 1 | <1% |
| Other | 10 | 9% |
| Unknown | 11 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 February 2013.
All research outputs
#12,557,761
of 22,696,971 outputs
Outputs from BMC Bioinformatics
#3,588
of 7,254 outputs
Outputs of similar age
#161,946
of 307,673 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 141 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 50% 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 307,673 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.