| Title |
Utilizing student activity patterns to predict performance
|
|---|---|
| Published in |
International Journal of Educational Technology in Higher Education, February 2017
|
| DOI | 10.1186/s41239-017-0044-3 |
| Authors |
Kevin Casey, David Azcona |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| United Kingdom | 1 | 7% |
| United States | 1 | 7% |
| South Africa | 1 | 7% |
| Ecuador | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Finland | 1 | <1% |
| Unknown | 147 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 22 | 15% |
| Student > Doctoral Student | 14 | 9% |
| Lecturer | 13 | 9% |
| Researcher | 11 | 7% |
| Other | 27 | 18% |
| Unknown | 38 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 56 | 38% |
| Social Sciences | 19 | 13% |
| Engineering | 8 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Psychology | 3 | 2% |
| Other | 14 | 9% |
| Unknown | 46 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 July 2019.
All research outputs
#4,044,089
of 24,307,517 outputs
Outputs from International Journal of Educational Technology in Higher Education
#263
of 408 outputs
Outputs of similar age
#80,546
of 434,417 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#8
of 9 outputs
Altmetric has tracked 24,307,517 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 408 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 35th percentile – i.e., 35% 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 434,417 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 9 others from the same source and published within six weeks on either side of this one.