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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 25% |
| United States | 1 | 25% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 15 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 23% |
| Medicine and Dentistry | 6 | 11% |
| Engineering | 6 | 11% |
| Psychology | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 18 | 34% |
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
#2,939,836
of 23,191,112 outputs
Outputs from BMC Medical Informatics and Decision Making
#229
of 2,018 outputs
Outputs of similar age
#72,150
of 451,744 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 56 outputs
Altmetric has tracked 23,191,112 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 2,018 research outputs from this source. They receive a mean Attention Score of 4.9. 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 451,744 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 83% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.