| Title |
You shall not pass: how facial variability and feedback affect the detection of low-prevalence fake IDs
|
|---|---|
| Published in |
Cognitive Research: Principles and Implications, January 2020
|
| DOI | 10.1186/s41235-019-0204-1 |
| Pubmed ID | |
| Authors |
Dawn R. Weatherford, William Blake Erickson, Jasmyne Thomas, Mary E. Walker, Barret Schein |
X Demographics
The data shown below were collected from the profiles of 16 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 | 11 | 69% |
| United Kingdom | 2 | 13% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 44% |
| Members of the public | 7 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Professor | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 44% |
| Computer Science | 2 | 11% |
| Unspecified | 1 | 6% |
| Mathematics | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 February 2020.
All research outputs
#2,688,167
of 23,189,371 outputs
Outputs from Cognitive Research: Principles and Implications
#109
of 323 outputs
Outputs of similar age
#65,729
of 451,467 outputs
Outputs of similar age from Cognitive Research: Principles and Implications
#3
of 9 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.0. This one has gotten more attention than average, scoring higher than 66% 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 451,467 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 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.