↓ Skip to main content

Comparing Object Recognition in Humans and Deep Convolutional Neural Networks—An Eye Tracking Study

Overview of attention for article published in Frontiers in Neuroscience, October 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparing Object Recognition in Humans and Deep Convolutional Neural Networks—An Eye Tracking Study
Published in
Frontiers in Neuroscience, October 2021
DOI 10.3389/fnins.2021.750639
Pubmed ID
Authors

Leonard Elia van Dyck, Roland Kwitt, Sebastian Jochen Denzler, Walter Roland Gruber

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 22%
Student > Ph. D. Student 5 9%
Researcher 3 5%
Student > Postgraduate 3 5%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 23 42%
Readers by discipline Count As %
Computer Science 8 15%
Neuroscience 6 11%
Psychology 6 11%
Engineering 5 9%
Agricultural and Biological Sciences 1 2%
Other 6 11%
Unknown 23 42%
Attention Score in Context

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 10 June 2023.
All research outputs
#6,576,980
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#4,364
of 11,543 outputs
Outputs of similar age
#124,108
of 436,996 outputs
Outputs of similar age from Frontiers in Neuroscience
#112
of 399 outputs
Altmetric has tracked 25,392,582 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 61% 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 436,996 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 71% of its contemporaries.
We're also able to compare this research output to 399 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 71% of its contemporaries.