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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ear biometrics for patient identification in global health: a field study to test the effectiveness of an image stabilization device in improving identification accuracy
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2019
|
| DOI | 10.1186/s12911-019-0833-9 |
| Pubmed ID | |
| Authors |
Lauren P. Etter, Elizabeth J. Ragan, Rachael Campion, David Martinez, Christopher J. Gill |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 14% |
| Researcher | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Ph. D. Student | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 19% |
| Nursing and Health Professions | 8 | 13% |
| Engineering | 8 | 13% |
| Computer Science | 4 | 6% |
| Social Sciences | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 25 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 February 2021.
All research outputs
#6,051,598
of 24,185,663 outputs
Outputs from BMC Medical Informatics and Decision Making
#529
of 2,066 outputs
Outputs of similar age
#103,482
of 355,592 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 36 outputs
Altmetric has tracked 24,185,663 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 74% 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 355,592 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 36 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 66% of its contemporaries.