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The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment

Overview of attention for article published in International Journal of Educational Technology in Higher Education, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

twitter
13 tweeters
facebook
2 Facebook pages
video
1 video uploader

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
49 Mendeley
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Title
The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment
Published in
International Journal of Educational Technology in Higher Education, January 2017
DOI 10.1186/s41239-017-0048-z
Authors

Minoru Nakayama, Kouichi Mutsuura, Hiroh Yamamoto

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 6 12%
Lecturer 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 12 24%
Unknown 7 14%
Readers by discipline Count As %
Social Sciences 14 29%
Computer Science 4 8%
Arts and Humanities 3 6%
Psychology 3 6%
Business, Management and Accounting 3 6%
Other 9 18%
Unknown 13 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 September 2020.
All research outputs
#3,162,604
of 19,893,115 outputs
Outputs from International Journal of Educational Technology in Higher Education
#222
of 300 outputs
Outputs of similar age
#72,022
of 381,350 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#1
of 1 outputs
Altmetric has tracked 19,893,115 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one is in the 26th percentile – i.e., 26% 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 381,350 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 81% of its contemporaries.
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