| Title |
Prognostic models for predicting relapse or recurrence of major depressive disorder in adults
|
|---|---|
| Published in |
Cochrane database of systematic reviews, May 2021
|
| DOI | 10.1002/14651858.cd013491.pub2 |
| Pubmed ID | |
| Authors |
Andrew S Moriarty, Nicholas Meader, Kym Ie Snell, Richard D Riley, Lewis W Paton, Carolyn A Chew-Graham, Simon Gilbody, Rachel Churchill, Robert S Phillips, Shehzad Ali, Dean McMillan |
X Demographics
The data shown below were collected from the profiles of 50 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 | 18 | 36% |
| Japan | 3 | 6% |
| Finland | 2 | 4% |
| United States | 2 | 4% |
| Chile | 1 | 2% |
| Australia | 1 | 2% |
| New Zealand | 1 | 2% |
| France | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 66% |
| Scientists | 14 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 12% |
| Researcher | 12 | 9% |
| Student > Bachelor | 10 | 8% |
| Student > Ph. D. Student | 8 | 6% |
| Other | 8 | 6% |
| Other | 15 | 12% |
| Unknown | 61 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 18% |
| Psychology | 16 | 12% |
| Nursing and Health Professions | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 2% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 12 | 9% |
| Unknown | 69 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 21 April 2022.
All research outputs
#896,347
of 25,806,763 outputs
Outputs from Cochrane database of systematic reviews
#1,696
of 13,140 outputs
Outputs of similar age
#24,318
of 456,496 outputs
Outputs of similar age from Cochrane database of systematic reviews
#21
of 154 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. 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 456,496 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 94% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.