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Objective Methods for Reliable Detection of Concealed Depression

Overview of attention for article published in Frontiers in ICT, April 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 142)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Objective Methods for Reliable Detection of Concealed Depression
Published in
Frontiers in ICT, April 2015
DOI 10.3389/fict.2015.00005
Authors

Cynthia Solomon, Michel F. Valstar, Richard K. Morriss, John Crowe

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
China 1 2%
Germany 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Bachelor 5 11%
Researcher 5 11%
Student > Master 3 7%
Professor 1 2%
Other 3 7%
Unknown 18 39%
Readers by discipline Count As %
Computer Science 9 20%
Neuroscience 4 9%
Psychology 3 7%
Engineering 3 7%
Medicine and Dentistry 3 7%
Other 4 9%
Unknown 20 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 July 2015.
All research outputs
#6,068,576
of 22,799,071 outputs
Outputs from Frontiers in ICT
#34
of 142 outputs
Outputs of similar age
#71,213
of 264,077 outputs
Outputs of similar age from Frontiers in ICT
#1
of 7 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 142 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 76% 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 264,077 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 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them