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Categorization Method Affects the Typicality Effect: ERP Evidence from a Category-Inference Task

Overview of attention for article published in Frontiers in Psychology, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Categorization Method Affects the Typicality Effect: ERP Evidence from a Category-Inference Task
Published in
Frontiers in Psychology, February 2016
DOI 10.3389/fpsyg.2016.00184
Pubmed ID
Authors

Xiaoxi Wang, Yun Tao, Tobias Tempel, Yuan Xu, Siqi Li, Yu Tian, Hong Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Student > Doctoral Student 3 10%
Student > Postgraduate 3 10%
Student > Ph. D. Student 3 10%
Lecturer 1 3%
Other 4 13%
Unknown 13 43%
Readers by discipline Count As %
Psychology 9 30%
Arts and Humanities 1 3%
Computer Science 1 3%
Unspecified 1 3%
Decision Sciences 1 3%
Other 4 13%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2022.
All research outputs
#5,908,083
of 23,347,114 outputs
Outputs from Frontiers in Psychology
#8,588
of 31,086 outputs
Outputs of similar age
#80,601
of 299,146 outputs
Outputs of similar age from Frontiers in Psychology
#204
of 519 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 31,086 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 gotten more attention than average, scoring higher than 72% 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 299,146 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 72% of its contemporaries.
We're also able to compare this research output to 519 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 60% of its contemporaries.