| Title |
Risk factors for male and female suicide decedents ages 15–64 in the United States
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, August 2003
|
| DOI | 10.1007/s00127-003-0656-x |
| Pubmed ID | |
| Authors |
Hsiang-Ching Kung, Jane L. Pearson, Xinhua Liu |
| Abstract |
Few controlled studies have examined possible gender differences in risk factors for suicide. This paper examined the associations of certain risk factors with suicide among males and females aged 15-64, and the variation in the associations by gender. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 10% |
| Spain | 1 | 10% |
| Peru | 1 | 10% |
| Colombia | 1 | 10% |
| Brazil | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 91 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 20% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Master | 12 | 13% |
| Student > Doctoral Student | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Other | 11 | 12% |
| Unknown | 20 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 24% |
| Medicine and Dentistry | 19 | 20% |
| Nursing and Health Professions | 7 | 8% |
| Social Sciences | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 28 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 December 2023.
All research outputs
#568,404
of 24,079,335 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#86
of 2,629 outputs
Outputs of similar age
#458
of 50,602 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#1
of 10 outputs
Altmetric has tracked 24,079,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 96% 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 50,602 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 99% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them