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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Affordances of Multivariate Elo-Based Learner Modeling in Game-Based Assessment
|
|---|---|
| Published in |
IEEE Transactions on Learning Technologies, September 2022
|
| DOI | 10.1109/tlt.2022.3203912 |
| Authors |
Jos A. Ruiprez-Valiente, Yoon Jeon Kim, Ryan S. Baker, Pedro A. Martnez, Grace C. Lin |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Researcher | 3 | 14% |
| Lecturer | 2 | 9% |
| Student > Ph. D. Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 18% |
| Computer Science | 3 | 14% |
| Mathematics | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2022.
All research outputs
#8,194,992
of 25,392,582 outputs
Outputs from IEEE Transactions on Learning Technologies
#79
of 249 outputs
Outputs of similar age
#146,691
of 431,126 outputs
Outputs of similar age from IEEE Transactions on Learning Technologies
#2
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 gotten more attention than average, scoring higher than 67% 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 431,126 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 65% 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. This one has scored higher than 3 of them.