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Reactions to Imagery Generated Using Computational Aesthetic Measures

Overview of attention for article published in Leonardo, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
4 Mendeley
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Title
Reactions to Imagery Generated Using Computational Aesthetic Measures
Published in
Leonardo, October 2017
DOI 10.1162/leon_a_01348
Authors

Prasad Gade, Mary Galvin, James O’Sullivan, Paul Walsh, Órla Murphy

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Professor > Associate Professor 1 25%
Lecturer > Senior Lecturer 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 October 2017.
All research outputs
#6,490,082
of 12,009,062 outputs
Outputs from Leonardo
#180
of 310 outputs
Outputs of similar age
#116,791
of 275,290 outputs
Outputs of similar age from Leonardo
#3
of 4 outputs
Altmetric has tracked 12,009,062 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 40th percentile – i.e., 40% 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 275,290 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 55% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.