You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Text mining for biology - the way forward: opinions from leading scientists
|
|---|---|
| Published in |
Genome Biology, September 2008
|
| DOI | 10.1186/gb-2008-9-s2-s7 |
| Pubmed ID | |
| Authors |
Russ B Altman, Casey M Bergman, Judith Blake, Christian Blaschke, Aaron Cohen, Frank Gannon, Les Grivell, Udo Hahn, William Hersh, Lynette Hirschman, Lars Juhl Jensen, Martin Krallinger, Barend Mons, Seán I O'Donoghue, Manuel C Peitsch, Dietrich Rebholz-Schuhmann, Hagit Shatkay, Alfonso Valencia |
| Abstract |
This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress. |
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 % |
|---|---|---|
| France | 1 | 25% |
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 5% |
| United Kingdom | 11 | 4% |
| Spain | 5 | 2% |
| Germany | 4 | 1% |
| Mexico | 4 | 1% |
| France | 2 | <1% |
| Austria | 2 | <1% |
| Brazil | 2 | <1% |
| Ireland | 1 | <1% |
| Other | 13 | 5% |
| Unknown | 215 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 74 | 27% |
| Student > Ph. D. Student | 49 | 18% |
| Student > Master | 38 | 14% |
| Professor > Associate Professor | 21 | 8% |
| Student > Bachelor | 18 | 7% |
| Other | 63 | 23% |
| Unknown | 11 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 28% |
| Computer Science | 70 | 26% |
| Social Sciences | 21 | 8% |
| Biochemistry, Genetics and Molecular Biology | 13 | 5% |
| Engineering | 13 | 5% |
| Other | 65 | 24% |
| Unknown | 16 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 October 2020.
All research outputs
#2,557,971
of 25,374,917 outputs
Outputs from Genome Biology
#2,049
of 4,467 outputs
Outputs of similar age
#7,229
of 95,706 outputs
Outputs of similar age from Genome Biology
#7
of 32 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 54% 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 95,706 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 92% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.