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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precision education with statistical learning and deep learning: a case study in Taiwan
|
|---|---|
| Published in |
International Journal of Educational Technology in Higher Education, April 2020
|
| DOI | 10.1186/s41239-020-00186-2 |
| Authors |
Shuo-Chang Tsai, Cheng-Huan Chen, Yi-Tzone Shiao, Jin-Shuei Ciou, Trong-Neng Wu |
X Demographics
The data shown below were collected from the profiles of 64 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 | 9 | 14% |
| United States | 8 | 13% |
| India | 4 | 6% |
| Cameroon | 3 | 5% |
| France | 3 | 5% |
| Germany | 2 | 3% |
| Switzerland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Brazil | 1 | 2% |
| Other | 6 | 9% |
| Unknown | 26 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 89% |
| Scientists | 5 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 279 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 10% |
| Student > Ph. D. Student | 26 | 9% |
| Researcher | 17 | 6% |
| Student > Bachelor | 17 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 57 | 20% |
| Unknown | 122 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 17% |
| Social Sciences | 22 | 8% |
| Engineering | 18 | 6% |
| Business, Management and Accounting | 13 | 5% |
| Arts and Humanities | 9 | 3% |
| Other | 42 | 15% |
| Unknown | 128 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 24 February 2024.
All research outputs
#1,031,532
of 25,661,882 outputs
Outputs from International Journal of Educational Technology in Higher Education
#42
of 531 outputs
Outputs of similar age
#28,477
of 401,565 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#1
of 17 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 92% 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 401,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.