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Personalized word learning for university students: a profile-based method for e-learning systems

Overview of attention for article published in Journal of Computing in Higher Education, March 2019
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Mentioned by

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1 X user

Citations

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29 Dimensions

Readers on

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88 Mendeley
Title
Personalized word learning for university students: a profile-based method for e-learning systems
Published in
Journal of Computing in Higher Education, March 2019
DOI 10.1007/s12528-019-09215-0
Authors

Haoran Xie, Di Zou, Ruofei Zhang, Minhong Wang, Reggie Kwan

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

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 8%
Researcher 7 8%
Lecturer 6 7%
Student > Bachelor 6 7%
Student > Postgraduate 5 6%
Other 16 18%
Unknown 41 47%
Readers by discipline Count As %
Social Sciences 10 11%
Computer Science 8 9%
Linguistics 6 7%
Business, Management and Accounting 3 3%
Mathematics 3 3%
Other 13 15%
Unknown 45 51%
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 31 July 2019.
All research outputs
#20,576,009
of 23,153,184 outputs
Outputs from Journal of Computing in Higher Education
#238
of 257 outputs
Outputs of similar age
#302,584
of 351,804 outputs
Outputs of similar age from Journal of Computing in Higher Education
#11
of 18 outputs
Altmetric has tracked 23,153,184 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 257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 351,804 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 18 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.