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Model-agnostic explainable artificial intelligence for object detection in image data

Overview of attention for article published in Engineering Applications of Artificial Intelligence, November 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
8 Mendeley
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Title
Model-agnostic explainable artificial intelligence for object detection in image data
Published in
Engineering Applications of Artificial Intelligence, November 2024
DOI 10.1016/j.engappai.2024.109183
Authors

Milad Moradi, Ke Yan, David Colwell, Matthias Samwald, Rhona Asgari

Timeline

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Lecturer > Senior Lecturer 1 13%
Professor > Associate Professor 1 13%
Lecturer 1 13%
Unknown 4 50%
Readers by discipline Count As %
Engineering 3 38%
Unspecified 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 April 2024.
All research outputs
#15,387,400
of 26,589,077 outputs
Outputs from Engineering Applications of Artificial Intelligence
#394
of 862 outputs
Outputs of similar age
#3,616
of 7,912 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#3
of 10 outputs
Altmetric has tracked 26,589,077 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 54% 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 7,912 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 53% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.