You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Markov chain model for studying suicide dynamics: an illustration of the Rose theorem
|
|---|---|
| Published in |
BMC Public Health, June 2014
|
| DOI | 10.1186/1471-2458-14-625 |
| Pubmed ID | |
| Authors |
Paul Siu Fai Yip, Bing Kwan So, Ichiro Kawachi, Yi Zhang |
| Abstract |
High-risk strategies would only have a modest effect on suicide prevention within a population. It is best to incorporate both high-risk and population-based strategies to prevent suicide. This study aims to compare the effectiveness of suicide prevention between high-risk and population-based strategies. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Norway | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 6 | 15% |
| Student > Doctoral Student | 3 | 8% |
| Other | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 23% |
| Medicine and Dentistry | 8 | 21% |
| Psychology | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 January 2024.
All research outputs
#15,891,028
of 25,149,126 outputs
Outputs from BMC Public Health
#11,642
of 16,798 outputs
Outputs of similar age
#126,583
of 234,422 outputs
Outputs of similar age from BMC Public Health
#211
of 292 outputs
Altmetric has tracked 25,149,126 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 27th percentile – i.e., 27% 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 234,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.