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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LINNAEUS: A species name identification system for biomedical literature
|
|---|---|
| Published in |
BMC Bioinformatics, February 2010
|
| DOI | 10.1186/1471-2105-11-85 |
| Pubmed ID | |
| Authors |
Martin Gerner, Goran Nenadic, Casey M Bergman |
| Abstract |
The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data mining, including gene name recognition, species-specific document retrieval, and semantic enrichment of biomedical articles. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 2% |
| United States | 5 | 2% |
| Portugal | 4 | 2% |
| Germany | 4 | 2% |
| Netherlands | 3 | 1% |
| Spain | 3 | 1% |
| Brazil | 2 | <1% |
| Mexico | 2 | <1% |
| Sweden | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 192 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 22% |
| Student > Master | 40 | 17% |
| Student > Ph. D. Student | 36 | 16% |
| Other | 17 | 7% |
| Student > Doctoral Student | 11 | 5% |
| Other | 43 | 19% |
| Unknown | 31 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 81 | 35% |
| Agricultural and Biological Sciences | 63 | 28% |
| Biochemistry, Genetics and Molecular Biology | 10 | 4% |
| Medicine and Dentistry | 8 | 3% |
| Engineering | 5 | 2% |
| Other | 26 | 11% |
| Unknown | 36 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 26 November 2023.
All research outputs
#1,490,817
of 24,876,519 outputs
Outputs from BMC Bioinformatics
#223
of 7,602 outputs
Outputs of similar age
#6,814
of 175,738 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 66 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,602 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 particularly well, scoring higher than 97% 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 175,738 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 96% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.