↓ Skip to main content

Use of Felder and Silverman learning style model for online course design

Overview of attention for article published in Educational technology research and development, November 2018
Altmetric Badge

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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
16 X users
googleplus
1 Google+ user

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
235 Mendeley
Title
Use of Felder and Silverman learning style model for online course design
Published in
Educational technology research and development, November 2018
DOI 10.1007/s11423-018-9634-6
Authors

Moushir M. El-Bishouty, Ahmed Aldraiweesh, Uthman Alturki, Richard Tortorella, Junfeng Yang, Ting-Wen Chang, Sabine Graf, Kinshuk

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 235 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 31 13%
Student > Master 25 11%
Student > Ph. D. Student 23 10%
Student > Doctoral Student 12 5%
Student > Bachelor 11 5%
Other 54 23%
Unknown 79 34%
Readers by discipline Count As %
Computer Science 41 17%
Social Sciences 35 15%
Engineering 15 6%
Arts and Humanities 10 4%
Mathematics 9 4%
Other 43 18%
Unknown 82 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 December 2018.
All research outputs
#2,404,559
of 24,397,600 outputs
Outputs from Educational technology research and development
#63
of 1,077 outputs
Outputs of similar age
#50,826
of 355,637 outputs
Outputs of similar age from Educational technology research and development
#3
of 13 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,077 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 355,637 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 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.