The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why Do We Need Computational Models of Psychological Change and Recovery, and How Should They Be Designed and Tested?
|
|---|---|
| Published in |
Frontiers in Psychiatry, June 2020
|
| DOI | 10.3389/fpsyt.2020.00624 |
| Pubmed ID | |
| Authors |
Warren Mansell, Vyv Huddy |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 14% |
| Canada | 2 | 7% |
| Switzerland | 1 | 3% |
| Unknown | 22 | 76% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 62% |
| Scientists | 6 | 21% |
| Practitioners (doctors, other healthcare professionals) | 5 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Researcher | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Student > Master | 6 | 6% |
| Other | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 38 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 26 | 27% |
| Computer Science | 5 | 5% |
| Engineering | 4 | 4% |
| Neuroscience | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 44 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 04 October 2023.
All research outputs
#2,317,947
of 26,413,848 outputs
Outputs from Frontiers in Psychiatry
#1,440
of 13,157 outputs
Outputs of similar age
#61,788
of 436,128 outputs
Outputs of similar age from Frontiers in Psychiatry
#48
of 378 outputs
Altmetric has tracked 26,413,848 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 13,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 89% 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 436,128 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 85% of its contemporaries.
We're also able to compare this research output to 378 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.