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Construct and content in context: implications for language learning, teaching and assessment in China

Overview of attention for article published in Language Testing in Asia, September 2017
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Mentioned by

twitter
1 X user

Citations

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6 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Construct and content in context: implications for language learning, teaching and assessment in China
Published in
Language Testing in Asia, September 2017
DOI 10.1186/s40468-017-0044-1
Authors

Yan Jin

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

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 27%
Lecturer 8 13%
Student > Doctoral Student 3 5%
Student > Ph. D. Student 3 5%
Other 2 3%
Other 5 8%
Unknown 23 38%
Readers by discipline Count As %
Linguistics 16 27%
Arts and Humanities 6 10%
Social Sciences 6 10%
Psychology 2 3%
Business, Management and Accounting 1 2%
Other 2 3%
Unknown 27 45%
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 10 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from Language Testing in Asia
#169
of 194 outputs
Outputs of similar age
#276,272
of 316,264 outputs
Outputs of similar age from Language Testing in Asia
#3
of 4 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They receive a mean Attention Score of 2.6. 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 316,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.