Title |
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes
|
---|---|
Published in |
npj Digital Medicine, April 2020
|
DOI | 10.1038/s41746-020-0258-y |
Pubmed ID | |
Authors |
Beau Norgeot, Kathleen Muenzen, Thomas A. Peterson, Xuancheng Fan, Benjamin S. Glicksberg, Gundolf Schenk, Eugenia Rutenberg, Boris Oskotsky, Marina Sirota, Jinoos Yazdany, Gabriela Schmajuk, Dana Ludwig, Theodore Goldstein, Atul J. Butte |
X Demographics
The data shown below were collected from the profiles of 70 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 | 40 | 57% |
Australia | 3 | 4% |
India | 2 | 3% |
United Kingdom | 2 | 3% |
Guinea | 1 | 1% |
Latvia | 1 | 1% |
South Africa | 1 | 1% |
Ireland | 1 | 1% |
Croatia | 1 | 1% |
Other | 2 | 3% |
Unknown | 16 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 46% |
Scientists | 29 | 41% |
Practitioners (doctors, other healthcare professionals) | 9 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 22% |
Student > Ph. D. Student | 8 | 14% |
Student > Master | 6 | 10% |
Other | 6 | 10% |
Student > Doctoral Student | 3 | 5% |
Other | 7 | 12% |
Unknown | 15 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 21% |
Medicine and Dentistry | 8 | 14% |
Agricultural and Biological Sciences | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Engineering | 3 | 5% |
Other | 7 | 12% |
Unknown | 22 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 29 March 2023.
All research outputs
#901,310
of 25,466,764 outputs
Outputs from npj Digital Medicine
#278
of 995 outputs
Outputs of similar age
#25,760
of 402,894 outputs
Outputs of similar age from npj Digital Medicine
#19
of 52 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has gotten more attention than average, scoring higher than 72% 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 402,894 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 93% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.