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Measuring and Improving User Experience Through Artificial Intelligence-Aided Design

Overview of attention for article published in Frontiers in Psychology, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Measuring and Improving User Experience Through Artificial Intelligence-Aided Design
Published in
Frontiers in Psychology, November 2020
DOI 10.3389/fpsyg.2020.595374
Pubmed ID
Authors

Bin Yang, Long Wei, Zihan Pu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 10%
Student > Master 10 8%
Unspecified 5 4%
Researcher 5 4%
Student > Doctoral Student 5 4%
Other 17 13%
Unknown 74 57%
Readers by discipline Count As %
Computer Science 18 14%
Design 8 6%
Business, Management and Accounting 7 5%
Unspecified 5 4%
Engineering 3 2%
Other 14 11%
Unknown 74 57%
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 17 May 2021.
All research outputs
#4,353,011
of 23,566,295 outputs
Outputs from Frontiers in Psychology
#7,359
of 31,424 outputs
Outputs of similar age
#116,192
of 508,917 outputs
Outputs of similar age from Frontiers in Psychology
#276
of 828 outputs
Altmetric has tracked 23,566,295 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 76% 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 508,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 828 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 65% of its contemporaries.