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Learning isolated polysemous words: identifying the intended meaning of language learners in informal ubiquitous language learning environments

Overview of attention for article published in Smart Learning Environments, November 2019
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

mendeley
28 Mendeley
Title
Learning isolated polysemous words: identifying the intended meaning of language learners in informal ubiquitous language learning environments
Published in
Smart Learning Environments, November 2019
DOI 10.1186/s40561-019-0095-0
Authors

Victoria Abou-Khalil, Samar Helou, Brendan Flanagan, Mei-Rong Alice Chen, Hiroaki Ogata

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Doctoral Student 4 14%
Lecturer 3 11%
Researcher 3 11%
Lecturer > Senior Lecturer 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Computer Science 5 18%
Linguistics 5 18%
Social Sciences 4 14%
Arts and Humanities 2 7%
Business, Management and Accounting 1 4%
Other 4 14%
Unknown 7 25%
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 11 January 2023.
All research outputs
#16,292,889
of 24,001,212 outputs
Outputs from Smart Learning Environments
#135
of 193 outputs
Outputs of similar age
#226,438
of 363,282 outputs
Outputs of similar age from Smart Learning Environments
#6
of 8 outputs
Altmetric has tracked 24,001,212 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 18th percentile – i.e., 18% 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 363,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.