| Title |
Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
|
|---|---|
| Published in |
International Journal of Educational Technology in Higher Education, December 2021
|
| DOI | 10.1186/s41239-021-00300-y |
| Pubmed ID | |
| Authors |
Halit Karalar, Ceyhun Kapucu, Hüseyin Gürüler |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 25% |
| France | 1 | 13% |
| Colombia | 1 | 13% |
| Germany | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 7% |
| Lecturer | 9 | 7% |
| Student > Master | 8 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Unspecified | 5 | 4% |
| Other | 25 | 19% |
| Unknown | 71 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 23% |
| Unspecified | 6 | 4% |
| Social Sciences | 6 | 4% |
| Engineering | 5 | 4% |
| Arts and Humanities | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 72 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 October 2022.
All research outputs
#6,933,797
of 24,618,075 outputs
Outputs from International Journal of Educational Technology in Higher Education
#338
of 414 outputs
Outputs of similar age
#147,799
of 512,570 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#14
of 15 outputs
Altmetric has tracked 24,618,075 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one is in the 17th percentile – i.e., 17% 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 512,570 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 70% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.