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Fuzzy or Clear? A Computational Approach Towards Dynamic L2 Lexical-Semantic Representation

Overview of attention for article published in Frontiers in Communication, January 2022
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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7 Mendeley
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Title
Fuzzy or Clear? A Computational Approach Towards Dynamic L2 Lexical-Semantic Representation
Published in
Frontiers in Communication, January 2022
DOI 10.3389/fcomm.2021.726443
Authors

Xiaowei Zhao, Ping Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Linguistics 1 14%
Computer Science 1 14%
Psychology 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 January 2022.
All research outputs
#18,535,896
of 22,957,478 outputs
Outputs from Frontiers in Communication
#634
of 908 outputs
Outputs of similar age
#360,545
of 499,920 outputs
Outputs of similar age from Frontiers in Communication
#65
of 92 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 499,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.