↓ Skip to main content

Uncovering trend-based research insights on teaching and learning in big data

Overview of attention for article published in Journal of Big Data, October 2020
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
59 Mendeley
Title
Uncovering trend-based research insights on teaching and learning in big data
Published in
Journal of Big Data, October 2020
DOI 10.1186/s40537-020-00368-9
Authors

Young-Eun Park

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 12%
Student > Ph. D. Student 7 12%
Student > Bachelor 7 12%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 11 19%
Unknown 16 27%
Readers by discipline Count As %
Business, Management and Accounting 8 14%
Computer Science 8 14%
Social Sciences 7 12%
Engineering 5 8%
Psychology 2 3%
Other 9 15%
Unknown 20 34%

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 21 October 2020.
All research outputs
#15,369,917
of 19,188,609 outputs
Outputs from Journal of Big Data
#210
of 284 outputs
Outputs of similar age
#290,029
of 387,992 outputs
Outputs of similar age from Journal of Big Data
#34
of 59 outputs
Altmetric has tracked 19,188,609 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 3rd percentile – i.e., 3% 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 387,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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.