Title |
Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach
|
---|---|
Published in |
Frontiers in Psychology, November 2020
|
DOI | 10.3389/fpsyg.2020.586202 |
Pubmed ID | |
Authors |
Tracy A. Prout, Sigal Zilcha-Mano, Katie Aafjes-van Doorn, Vera Békés, Isabelle Christman-Cohen, Kathryn Whistler, Thomas Kui, Mariagrazia Di Giuseppe |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 258 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 30 | 12% |
Researcher | 26 | 10% |
Student > Master | 22 | 9% |
Student > Doctoral Student | 22 | 9% |
Student > Ph. D. Student | 21 | 8% |
Other | 34 | 13% |
Unknown | 103 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 55 | 21% |
Medicine and Dentistry | 27 | 10% |
Nursing and Health Professions | 19 | 7% |
Social Sciences | 12 | 5% |
Computer Science | 8 | 3% |
Other | 30 | 12% |
Unknown | 107 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 12 March 2023.
All research outputs
#2,005,552
of 23,515,785 outputs
Outputs from Frontiers in Psychology
#3,979
of 31,347 outputs
Outputs of similar age
#53,640
of 421,892 outputs
Outputs of similar age from Frontiers in Psychology
#161
of 898 outputs
Altmetric has tracked 23,515,785 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 87% 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 421,892 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 87% of its contemporaries.
We're also able to compare this research output to 898 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.