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Mendeley readers
Attention Score in Context
| Title |
A Real-Time Predictive Model for Identifying Course Dropout in Online Higher Education
|
|---|---|
| Published in |
IEEE Transactions on Learning Technologies, April 2023
|
| DOI | 10.1109/tlt.2023.3267275 |
| Authors |
David Baneres, M. Elena Rodrguez-Gonzlez, Ana Elena Guerrero-Roldn |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 21% |
| Unspecified | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Unspecified | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Energy | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 57% |
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 05 September 2023.
All research outputs
#2,487,868
of 25,394,764 outputs
Outputs from IEEE Transactions on Learning Technologies
#13
of 249 outputs
Outputs of similar age
#48,401
of 416,966 outputs
Outputs of similar age from IEEE Transactions on Learning Technologies
#1
of 3 outputs
Altmetric has tracked 25,394,764 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 249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 416,966 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 88% of its contemporaries.
We're also able to compare this research output to 3 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