| Title |
Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?
|
|---|---|
| Published in |
Journal of Affective Disorders, March 2019
|
| DOI | 10.1016/j.jad.2019.03.044 |
| Pubmed ID | |
| Authors |
Nicholas B Allen, Benjamin W Nelson, David Brent, Randy P Auerbach |
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 % |
|---|---|---|
| United States | 4 | 40% |
| Italy | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 310 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 40 | 13% |
| Student > Bachelor | 35 | 11% |
| Student > Ph. D. Student | 32 | 10% |
| Researcher | 29 | 9% |
| Other | 14 | 5% |
| Other | 47 | 15% |
| Unknown | 113 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 66 | 21% |
| Medicine and Dentistry | 22 | 7% |
| Nursing and Health Professions | 20 | 6% |
| Computer Science | 19 | 6% |
| Social Sciences | 12 | 4% |
| Other | 46 | 15% |
| Unknown | 125 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 July 2019.
All research outputs
#5,303,330
of 25,385,509 outputs
Outputs from Journal of Affective Disorders
#3,183
of 10,147 outputs
Outputs of similar age
#105,546
of 366,053 outputs
Outputs of similar age from Journal of Affective Disorders
#93
of 183 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 68% 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 366,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.