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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
|
|---|---|
| Published in |
Frontiers in Psychiatry, February 2019
|
| DOI | 10.3389/fpsyt.2019.00036 |
| Pubmed ID | |
| Authors |
Sumithra Velupillai, Gergö Hadlaczky, Enrique Baca-Garcia, Genevieve M. Gorrell, Nomi Werbeloff, Dong Nguyen, Rashmi Patel, Daniel Leightley, Johnny Downs, Matthew Hotopf, Rina Dutta |
X Demographics
The data shown below were collected from the profiles of 28 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 | 10 | 36% |
| United States | 3 | 11% |
| Switzerland | 1 | 4% |
| France | 1 | 4% |
| Turkey | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 61% |
| Practitioners (doctors, other healthcare professionals) | 7 | 25% |
| Scientists | 4 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 13% |
| Other | 10 | 9% |
| Researcher | 10 | 9% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 15 | 13% |
| Unknown | 43 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 12% |
| Psychology | 10 | 9% |
| Computer Science | 8 | 7% |
| Social Sciences | 6 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Other | 21 | 19% |
| Unknown | 49 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 27 April 2021.
All research outputs
#1,277,396
of 23,186,937 outputs
Outputs from Frontiers in Psychiatry
#668
of 10,312 outputs
Outputs of similar age
#34,096
of 448,109 outputs
Outputs of similar age from Frontiers in Psychiatry
#33
of 233 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% 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 448,109 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 92% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.