| Title |
Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints
|
|---|---|
| Published in |
User Modeling and User-Adapted Interaction, April 2019
|
| DOI | 10.1007/s11257-019-09234-7 |
| Authors |
David Azcona, I-Han Hsiao, Alan F. Smeaton |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 8 | 67% |
| India | 1 | 8% |
| Mexico | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 12% |
| Student > Ph. D. Student | 23 | 11% |
| Researcher | 14 | 7% |
| Lecturer | 12 | 6% |
| Professor | 11 | 5% |
| Other | 45 | 21% |
| Unknown | 80 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 21% |
| Social Sciences | 18 | 9% |
| Engineering | 15 | 7% |
| Unspecified | 7 | 3% |
| Arts and Humanities | 7 | 3% |
| Other | 26 | 12% |
| Unknown | 92 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 30 April 2019.
All research outputs
#3,049,247
of 23,911,072 outputs
Outputs from User Modeling and User-Adapted Interaction
#13
of 191 outputs
Outputs of similar age
#65,360
of 353,528 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#2
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% 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 353,528 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 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.