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GP-based methods for domain adaptation: using brain decoding across subjects as a test-case

Overview of attention for article published in Genetic Programming and Evolvable Machines, May 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#33 of 122)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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7 X users

Citations

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5 Dimensions

Readers on

mendeley
14 Mendeley
Title
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case
Published in
Genetic Programming and Evolvable Machines, May 2019
DOI 10.1007/s10710-019-09352-6
Authors

Roberto Santana, Luis Marti, Mengjie Zhang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Master 2 14%
Lecturer > Senior Lecturer 1 7%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 5 36%
Agricultural and Biological Sciences 1 7%
Psychology 1 7%
Sports and Recreations 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 October 2019.
All research outputs
#6,895,222
of 23,335,153 outputs
Outputs from Genetic Programming and Evolvable Machines
#33
of 122 outputs
Outputs of similar age
#124,065
of 351,169 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 3 outputs
Altmetric has tracked 23,335,153 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 122 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 351,169 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 64% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.