| Title |
Predicting students’ flow experience through behavior data in gamified educational systems
|
|---|---|
| Published in |
Smart Learning Environments, November 2021
|
| DOI | 10.1186/s40561-021-00175-6 |
| Authors |
Wilk Oliveira, Kamilla Tenório, Juho Hamari, Olena Pastushenko, Seiji Isotani |
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 % |
|---|---|---|
| Netherlands | 1 | 8% |
| Nepal | 1 | 8% |
| Egypt | 1 | 8% |
| United Kingdom | 1 | 8% |
| Germany | 1 | 8% |
| Spain | 1 | 8% |
| Indonesia | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Lecturer | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 17 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 16% |
| Business, Management and Accounting | 2 | 5% |
| Arts and Humanities | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 6 | 16% |
| Unknown | 20 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 03 August 2023.
All research outputs
#3,371,205
of 24,187,594 outputs
Outputs from Smart Learning Environments
#28
of 196 outputs
Outputs of similar age
#74,127
of 427,822 outputs
Outputs of similar age from Smart Learning Environments
#3
of 14 outputs
Altmetric has tracked 24,187,594 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 86% 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 427,822 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 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.