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Customization scenarios for de-identification of clinical notes

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

news
1 news outlet
twitter
4 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Customization scenarios for de-identification of clinical notes
Published in
BMC Medical Informatics and Decision Making, January 2020
DOI 10.1186/s12911-020-1026-2
Pubmed ID
Authors

Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias

Twitter Demographics

The data shown below were collected from the profiles of 4 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 10 22%
Student > Master 4 9%
Unspecified 4 9%
Other 3 7%
Other 5 11%
Unknown 7 16%
Readers by discipline Count As %
Computer Science 12 27%
Medicine and Dentistry 6 13%
Unspecified 5 11%
Engineering 4 9%
Psychology 2 4%
Other 8 18%
Unknown 8 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 04 March 2020.
All research outputs
#2,077,152
of 17,145,811 outputs
Outputs from BMC Medical Informatics and Decision Making
#181
of 1,555 outputs
Outputs of similar age
#56,556
of 332,579 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 17,145,811 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 1,555 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 88% 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 332,579 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 82% 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