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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated de-identification of free-text medical records
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2008
|
| DOI | 10.1186/1472-6947-8-32 |
| Pubmed ID | |
| Authors |
Ishna Neamatullah, Margaret M Douglass, Li-wei H Lehman, Andrew Reisner, Mauricio Villarroel, William J Long, Peter Szolovits, George B Moody, Roger G Mark, Gari D Clifford |
| Abstract |
Text-based patient medical records are a vital resource in medical research. In order to preserve patient confidentiality, however, the U.S. Health Insurance Portability and Accountability Act (HIPAA) requires that protected health information (PHI) be removed from medical records before they can be disseminated. Manual de-identification of large medical record databases is prohibitively expensive, time-consuming and prone to error, necessitating automatic methods for large-scale, automated de-identification. |
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 % |
|---|---|---|
| India | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 5 | 2% |
| Brazil | 2 | <1% |
| France | 2 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| Portugal | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 309 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 21% |
| Student > Master | 60 | 18% |
| Student > Ph. D. Student | 58 | 17% |
| Other | 19 | 6% |
| Student > Bachelor | 16 | 5% |
| Other | 54 | 16% |
| Unknown | 56 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 108 | 33% |
| Medicine and Dentistry | 62 | 19% |
| Engineering | 18 | 5% |
| Agricultural and Biological Sciences | 12 | 4% |
| Arts and Humanities | 10 | 3% |
| Other | 54 | 16% |
| Unknown | 68 | 20% |
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 28 April 2022.
All research outputs
#2,172,349
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#139
of 1,982 outputs
Outputs of similar age
#6,056
of 81,879 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 10 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 81,879 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them