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A motivational model based on artificial biological functions for the intelligent decision-making of social robots

Overview of attention for article published in Memetic Computing, May 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
A motivational model based on artificial biological functions for the intelligent decision-making of social robots
Published in
Memetic Computing, May 2023
DOI 10.1007/s12293-023-00390-3
Authors

Marcos Maroto-Gómez, María Malfaz, Álvaro Castro-González, Miguel Ángel Salichs

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Professor 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Unknown 4 44%
Readers by discipline Count As %
Unspecified 2 22%
Psychology 1 11%
Social Sciences 1 11%
Engineering 1 11%
Unknown 4 44%
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 16 May 2023.
All research outputs
#14,817,535
of 25,425,223 outputs
Outputs from Memetic Computing
#16
of 37 outputs
Outputs of similar age
#167,237
of 395,777 outputs
Outputs of similar age from Memetic Computing
#1
of 1 outputs
Altmetric has tracked 25,425,223 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 37 research outputs from this source. They receive a mean Attention Score of 2.1. This one scored the same or higher as 21 of them.
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 395,777 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 56% of its contemporaries.
We're also able to compare this research output to 1 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