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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can cognition help predict suicide risk in patients with major depressive disorder? A machine learning study
|
|---|---|
| Published in |
BMC Psychiatry, September 2022
|
| DOI | 10.1186/s12888-022-04223-4 |
| Pubmed ID | |
| Authors |
Shuqiong Zheng, Weixiong Zeng, Qianqian Xin, Youran Ye, Xiang Xue, Enze Li, Ting Liu, Na Yan, Weiguo Chen, Honglei Yin |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Student > Postgraduate | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 22 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 21% |
| Computer Science | 4 | 9% |
| Unspecified | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Environmental Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 23 | 53% |
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 16 October 2022.
All research outputs
#18,985,884
of 23,538,320 outputs
Outputs from BMC Psychiatry
#4,049
of 4,876 outputs
Outputs of similar age
#299,948
of 431,687 outputs
Outputs of similar age from BMC Psychiatry
#85
of 105 outputs
Altmetric has tracked 23,538,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,876 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 9th percentile – i.e., 9% 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 431,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.