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Disrupted classes, undisrupted learning during COVID-19 outbreak in China: application of open educational practices and resources

Overview of attention for article published in Smart Learning Environments, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 224)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
policy
2 policy sources
twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
218 Dimensions

Readers on

mendeley
638 Mendeley
Title
Disrupted classes, undisrupted learning during COVID-19 outbreak in China: application of open educational practices and resources
Published in
Smart Learning Environments, July 2020
DOI 10.1186/s40561-020-00125-8
Authors

Ronghuai Huang, Ahmed Tlili, Ting-Wen Chang, Xiangling Zhang, Fabio Nascimbeni, Daniel Burgos

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users 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 638 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 638 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 65 10%
Student > Master 64 10%
Student > Ph. D. Student 52 8%
Student > Bachelor 44 7%
Student > Doctoral Student 27 4%
Other 117 18%
Unknown 269 42%
Readers by discipline Count As %
Social Sciences 108 17%
Arts and Humanities 43 7%
Computer Science 35 5%
Linguistics 29 5%
Business, Management and Accounting 28 4%
Other 110 17%
Unknown 285 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 25 November 2022.
All research outputs
#1,673,644
of 25,837,817 outputs
Outputs from Smart Learning Environments
#11
of 224 outputs
Outputs of similar age
#46,679
of 433,393 outputs
Outputs of similar age from Smart Learning Environments
#1
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 95% of its peers.
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 433,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5 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