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Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes

Overview of attention for article published in npj Digital Medicine, April 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

twitter
75 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
35 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 75 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 7 20%
Student > Master 4 11%
Other 3 9%
Student > Doctoral Student 3 9%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Computer Science 13 37%
Medicine and Dentistry 3 9%
Neuroscience 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 12 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 24 February 2021.
All research outputs
#546,075
of 18,330,451 outputs
Outputs from npj Digital Medicine
#144
of 460 outputs
Outputs of similar age
#16,619
of 285,000 outputs
Outputs of similar age from npj Digital Medicine
#1
of 1 outputs
Altmetric has tracked 18,330,451 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 63.2. This one has gotten more attention than average, scoring higher than 68% 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 285,000 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 94% of its contemporaries.
We're also able to compare this research output to 1 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