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Face recognition: a model specific ability

Overview of attention for article published in Frontiers in Human Neuroscience, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

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mendeley
94 Mendeley
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Title
Face recognition: a model specific ability
Published in
Frontiers in Human Neuroscience, October 2014
DOI 10.3389/fnhum.2014.00769
Pubmed ID
Authors

Jeremy B. Wilmer, Laura T. Germine, Ken Nakayama

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 1 1%
United Kingdom 1 1%
Indonesia 1 1%
Spain 1 1%
Canada 1 1%
Unknown 86 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Researcher 13 14%
Other 9 10%
Student > Master 9 10%
Professor > Associate Professor 8 9%
Other 24 26%
Unknown 12 13%
Readers by discipline Count As %
Psychology 53 56%
Neuroscience 9 10%
Agricultural and Biological Sciences 4 4%
Computer Science 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 7 7%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 August 2020.
All research outputs
#15,622,436
of 23,228,787 outputs
Outputs from Frontiers in Human Neuroscience
#5,325
of 7,252 outputs
Outputs of similar age
#149,812
of 256,658 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#186
of 244 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 256,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.