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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Age-Dependent Face Detection and Face Categorization Performance
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0079164 |
| Pubmed ID | |
| Authors |
Claus-Christian Carbon, Martina Grüter, Thomas Grüter |
| Abstract |
Empirical studies on the development of face processing skills with age show inconsistent patterns concerning qualitative vs. quantitative changes over time or the age range for peak cognitive performance. In the present study, we tested the proficiency in face detection and face categorization with a large sample of participants (N = 312; age range: 2-88 yrs). As test objects, we used so-called Mooney faces, two-tone (black and white) images of faces lacking critical information of a local, featural and relational nature, reflecting difficult real world face processing conditions. We found that performance in the assessment of gender and age from Mooney faces increases up to about age 15, and decreases from 65 years on. The implications of these findings are discussed in the light of classic and recent findings from face development literature. |
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 % |
|---|---|---|
| France | 2 | 29% |
| Belgium | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Researcher | 8 | 15% |
| Student > Bachelor | 8 | 15% |
| Student > Master | 5 | 10% |
| Professor | 4 | 8% |
| Other | 13 | 25% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 23 | 44% |
| Neuroscience | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Computer Science | 3 | 6% |
| Environmental Science | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 6 | 12% |
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 14 May 2024.
All research outputs
#6,474,195
of 25,378,284 outputs
Outputs from PLOS ONE
#92,097
of 220,658 outputs
Outputs of similar age
#54,340
of 222,642 outputs
Outputs of similar age from PLOS ONE
#1,592
of 5,126 outputs
Altmetric has tracked 25,378,284 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 220,658 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 58% 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 222,642 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 75% of its contemporaries.
We're also able to compare this research output to 5,126 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 68% of its contemporaries.