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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
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Mentioned by

twitter
1 X user

Citations

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21 Dimensions

Readers on

mendeley
105 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

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

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 11%
Lecturer 11 10%
Researcher 8 8%
Student > Master 7 7%
Student > Doctoral Student 7 7%
Other 26 25%
Unknown 34 32%
Readers by discipline Count As %
Computer Science 16 15%
Business, Management and Accounting 15 14%
Social Sciences 11 10%
Engineering 9 9%
Unspecified 4 4%
Other 12 11%
Unknown 38 36%
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 21 October 2020.
All research outputs
#18,761,080
of 23,253,955 outputs
Outputs from Journal of Big Data
#268
of 350 outputs
Outputs of similar age
#314,571
of 419,745 outputs
Outputs of similar age from Journal of Big Data
#12
of 20 outputs
Altmetric has tracked 23,253,955 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 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 5th percentile – i.e., 5% 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 419,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.