| Title |
Optimized collusion prevention for online exams during social distancing
|
|---|---|
| Published in |
npj Science of Learning, March 2021
|
| DOI | 10.1038/s41539-020-00083-3 |
| Pubmed ID | |
| Authors |
Mengzhou Li, Lei Luo, Sujoy Sikdar, Navid Ibtehaj Nizam, Shan Gao, Hongming Shan, Melanie Kruger, Uwe Kruger, Hisham Mohamed, Lirong Xia, Ge Wang |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Australia | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 9% |
| Lecturer > Senior Lecturer | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Lecturer | 4 | 5% |
| Researcher | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 38 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 9% |
| Social Sciences | 5 | 6% |
| Engineering | 5 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Arts and Humanities | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 42 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 235. 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 28 October 2021.
All research outputs
#137,630
of 23,285,523 outputs
Outputs from npj Science of Learning
#13
of 162 outputs
Outputs of similar age
#4,378
of 419,815 outputs
Outputs of similar age from npj Science of Learning
#1
of 7 outputs
Altmetric has tracked 23,285,523 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.9. This one has done particularly well, scoring higher than 91% 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 419,815 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 98% 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 all of them