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Developing and validating a mid-frequency word list for chemistry: a corpus-based approach using big data

Overview of attention for article published in Asian-Pacific Journal of Second and Foreign Language Education, October 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

mendeley
11 Mendeley
Title
Developing and validating a mid-frequency word list for chemistry: a corpus-based approach using big data
Published in
Asian-Pacific Journal of Second and Foreign Language Education, October 2023
DOI 10.1186/s40862-023-00205-5
Authors

Ismail Xodabande, Mahmood Reza Atai, Mohammad R. Hashemi, Paul Thompson

Timeline
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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 27%
Student > Ph. D. Student 1 9%
Unknown 7 64%
Readers by discipline Count As %
Arts and Humanities 1 9%
Linguistics 1 9%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Unknown 7 64%
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 06 October 2023.
All research outputs
#22,022,997
of 24,570,543 outputs
Outputs from Asian-Pacific Journal of Second and Foreign Language Education
#60
of 62 outputs
Outputs of similar age
#146,346
of 181,022 outputs
Outputs of similar age from Asian-Pacific Journal of Second and Foreign Language Education
#1
of 1 outputs
Altmetric has tracked 24,570,543 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 62 research outputs from this source. They receive a mean Attention Score of 2.2. 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 181,022 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them