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X Demographics
Mendeley readers
Attention Score in Context
Title |
What matters when exploring fidelity when using health IT to reduce disparities?
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, April 2021
|
DOI | 10.1186/s12911-021-01476-z |
Pubmed ID | |
Authors |
Margaret A. Handley, Jerad Landeros, Cindie Wu, Adriana Najmabadi, Daniela Vargas, Priyanka Athavale |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
Ireland | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 11% |
Unspecified | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Researcher | 2 | 7% |
Other | 1 | 4% |
Other | 4 | 15% |
Unknown | 13 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 19% |
Unspecified | 2 | 7% |
Computer Science | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 7% |
Unknown | 14 | 52% |
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 20 May 2021.
All research outputs
#2,867,036
of 23,302,246 outputs
Outputs from BMC Medical Informatics and Decision Making
#218
of 2,024 outputs
Outputs of similar age
#75,243
of 434,169 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 59 outputs
Altmetric has tracked 23,302,246 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 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 89% 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 434,169 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 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.