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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?
|
|---|---|
| Published in |
BMC Psychiatry, June 2022
|
| DOI | 10.1186/s12888-022-03984-2 |
| Pubmed ID | |
| Authors |
Chandril Chandan Ghosh, Duncan McVicar, Gavin Davidson, Ciaran Shannon, Cherie Armour |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| United Kingdom | 2 | 17% |
| United States | 2 | 17% |
| France | 1 | 8% |
| Switzerland | 1 | 8% |
| Luxembourg | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 9% |
| Researcher | 5 | 9% |
| Unspecified | 4 | 8% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 28 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 15% |
| Unspecified | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 29 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 November 2022.
All research outputs
#4,380,290
of 25,754,670 outputs
Outputs from BMC Psychiatry
#1,731
of 5,510 outputs
Outputs of similar age
#87,783
of 446,973 outputs
Outputs of similar age from BMC Psychiatry
#29
of 136 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 68% 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 446,973 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 80% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.