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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A system for de-identifying medical message board text
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-s3-s2 |
| Pubmed ID | |
| Authors |
Adrian Benton, Shawndra Hill, Lyle Ungar, Annie Chung, Charles Leonard, Cristin Freeman, John H Holmes |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Germany | 2 | 15% |
| United States | 1 | 8% |
| Switzerland | 1 | 8% |
| Luxembourg | 1 | 8% |
| Netherlands | 1 | 8% |
| Philippines | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Professor > Associate Professor | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Computer Science | 7 | 21% |
| Social Sciences | 3 | 9% |
| Psychology | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 6 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 June 2011.
All research outputs
#2,895,711
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#985
of 7,375 outputs
Outputs of similar age
#14,088
of 113,768 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 94 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 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 done well, scoring higher than 86% 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 113,768 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 87% of its contemporaries.
We're also able to compare this research output to 94 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 91% of its contemporaries.