↓ Skip to main content

The MR2: A multi-racial, mega-resolution database of facial stimuli

Overview of attention for article published in Behavior Research Methods, August 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
117 Mendeley
Title
The MR2: A multi-racial, mega-resolution database of facial stimuli
Published in
Behavior Research Methods, August 2015
DOI 10.3758/s13428-015-0641-9
Pubmed ID
Authors

Nina Strohminger, Kurt Gray, Vladimir Chituc, Joseph Heffner, Chelsea Schein, Titus Brooks Heagins

Abstract

Faces impart exhaustive information about their bearers, and are widely used as stimuli in psychological research. Yet many extant facial stimulus sets have substantially less detail than faces encountered in real life. In this paper, we describe a new database of facial stimuli, the Multi-Racial Mega-Resolution database (MR2). The MR2 includes 74 extremely high resolution images of European, African, and East Asian faces. This database provides a high-quality, diverse, naturalistic, and well-controlled facial image set for use in research. The MR2 is available under a Creative Commons license, and may be accessed online.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 15 13%
Student > Bachelor 14 12%
Researcher 12 10%
Student > Doctoral Student 7 6%
Other 21 18%
Unknown 23 20%
Readers by discipline Count As %
Psychology 60 51%
Neuroscience 6 5%
Agricultural and Biological Sciences 5 4%
Computer Science 5 4%
Social Sciences 4 3%
Other 11 9%
Unknown 26 22%
Attention Score in Context

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 04 August 2021.
All research outputs
#3,401,961
of 25,373,627 outputs
Outputs from Behavior Research Methods
#413
of 2,524 outputs
Outputs of similar age
#42,780
of 278,966 outputs
Outputs of similar age from Behavior Research Methods
#4
of 34 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,524 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 83% 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 278,966 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 84% of its contemporaries.
We're also able to compare this research output to 34 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.