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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic de-identification of textual documents in the electronic health record: a review of recent research
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2010
|
| DOI | 10.1186/1471-2288-10-70 |
| Pubmed ID | |
| Authors |
Stephane M Meystre, F Jeffrey Friedlin, Brett R South, Shuying Shen, Matthew H Samore |
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 States | 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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| United Kingdom | 4 | 1% |
| Malaysia | 2 | <1% |
| Spain | 2 | <1% |
| Bangladesh | 1 | <1% |
| Australia | 1 | <1% |
| Pakistan | 1 | <1% |
| Portugal | 1 | <1% |
| Austria | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 258 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 19% |
| Student > Ph. D. Student | 43 | 15% |
| Student > Master | 39 | 14% |
| Student > Bachelor | 20 | 7% |
| Other | 19 | 7% |
| Other | 51 | 18% |
| Unknown | 55 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 99 | 35% |
| Medicine and Dentistry | 38 | 14% |
| Agricultural and Biological Sciences | 13 | 5% |
| Engineering | 11 | 4% |
| Nursing and Health Professions | 8 | 3% |
| Other | 36 | 13% |
| Unknown | 76 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 June 2023.
All research outputs
#4,799,341
of 25,837,817 outputs
Outputs from BMC Medical Research Methodology
#769
of 2,318 outputs
Outputs of similar age
#19,771
of 106,418 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 66% 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 106,418 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 80% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.