| Title |
Predicting Psychological State Among Chinese Undergraduate Students in the COVID-19 Epidemic: A Longitudinal Study Using a Machine Learning
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, September 2020
|
| DOI | 10.2147/ndt.s262004 |
| Pubmed ID | |
| Authors |
Fenfen Ge, Di Zhang, Lianhai Wu, Hongwei Mu |
Mendeley readers
The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 192 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 11% |
| Student > Bachelor | 20 | 10% |
| Researcher | 19 | 10% |
| Student > Ph. D. Student | 16 | 8% |
| Professor | 9 | 5% |
| Other | 32 | 17% |
| Unknown | 75 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 29 | 15% |
| Medicine and Dentistry | 25 | 13% |
| Nursing and Health Professions | 12 | 6% |
| Computer Science | 9 | 5% |
| Engineering | 8 | 4% |
| Other | 25 | 13% |
| Unknown | 84 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 September 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#366,820
of 424,805 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#26
of 47 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 424,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.