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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomedical Text Mining and Its Applications
|
|---|---|
| Published in |
PLoS Computational Biology, December 2009
|
| DOI | 10.1371/journal.pcbi.1000597 |
| Pubmed ID | |
| Authors |
Raul Rodriguez-Esteban |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 3% |
| United Kingdom | 6 | 2% |
| Portugal | 4 | 1% |
| Mexico | 4 | 1% |
| Netherlands | 3 | <1% |
| Canada | 3 | <1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| India | 2 | <1% |
| Other | 14 | 4% |
| Unknown | 268 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 21% |
| Student > Ph. D. Student | 60 | 19% |
| Student > Master | 57 | 18% |
| Other | 25 | 8% |
| Student > Bachelor | 20 | 6% |
| Other | 64 | 20% |
| Unknown | 26 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 101 | 32% |
| Agricultural and Biological Sciences | 86 | 27% |
| Biochemistry, Genetics and Molecular Biology | 21 | 7% |
| Medicine and Dentistry | 19 | 6% |
| Social Sciences | 10 | 3% |
| Other | 48 | 15% |
| Unknown | 33 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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
#1,943,963
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#1,724
of 8,960 outputs
Outputs of similar age
#8,595
of 172,573 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 58 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 80% 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 172,573 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 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.