| Title |
The association between sleep disturbances and suicidal behaviors in patients with psychiatric diagnoses: a systematic review and meta-analysis
|
|---|---|
| Published in |
Systematic Reviews, February 2014
|
| DOI | 10.1186/2046-4053-3-18 |
| Pubmed ID | |
| Authors |
Shaista Malik, Amrit Kanwar, Leslie A Sim, Larry J Prokop, Zhen Wang, Khalid Benkhadra, Mohammad Hassan Murad |
| Abstract |
Identifying patients with increased risk of suicidal behaviors is a constant challenge and concern for clinicians caring for patients with psychiatric conditions. We conducted a systematic review to assess the association between suicidal behaviors and sleep disturbances in psychiatric patients. |
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 % |
|---|---|---|
| United Kingdom | 7 | 58% |
| Venezuela, Bolivarian Republic of | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 185 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 14% |
| Student > Ph. D. Student | 23 | 12% |
| Researcher | 22 | 12% |
| Student > Bachelor | 20 | 11% |
| Student > Doctoral Student | 13 | 7% |
| Other | 36 | 19% |
| Unknown | 48 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 50 | 26% |
| Medicine and Dentistry | 46 | 24% |
| Nursing and Health Professions | 9 | 5% |
| Neuroscience | 6 | 3% |
| Computer Science | 4 | 2% |
| Other | 19 | 10% |
| Unknown | 55 | 29% |
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 07 November 2019.
All research outputs
#2,359,249
of 26,017,215 outputs
Outputs from Systematic Reviews
#386
of 2,251 outputs
Outputs of similar age
#23,177
of 238,919 outputs
Outputs of similar age from Systematic Reviews
#4
of 20 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 82% 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 238,919 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 90% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.