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Evaluating the quality of the ontology-based auto-generated questions

Overview of attention for article published in Smart Learning Environments, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Evaluating the quality of the ontology-based auto-generated questions
Published in
Smart Learning Environments, November 2017
DOI 10.1186/s40561-017-0046-6
Authors

Mona Nabil Demaidi, Mohamed Medhat Gaber, Nick Filer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 19%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 1 4%
Other 2 8%
Unknown 10 38%
Readers by discipline Count As %
Computer Science 10 38%
Psychology 3 12%
Environmental Science 1 4%
Economics, Econometrics and Finance 1 4%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 August 2019.
All research outputs
#13,220,975
of 23,007,887 outputs
Outputs from Smart Learning Environments
#75
of 175 outputs
Outputs of similar age
#156,606
of 324,977 outputs
Outputs of similar age from Smart Learning Environments
#4
of 5 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 175 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 324,977 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% 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.