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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fluctuations in Affective States and Self-Efficacy to Resist Non-Suicidal Self-Injury as Real-Time Predictors of Non-Suicidal Self-Injurious Thoughts and Behaviors
|
|---|---|
| Published in |
Frontiers in Psychiatry, March 2020
|
| DOI | 10.3389/fpsyt.2020.00214 |
| Pubmed ID | |
| Authors |
Glenn Kiekens, Penelope Hasking, Matthew K. Nock, Mark Boyes, Olivia Kirtley, Ronny Bruffaerts, Inez Myin-Germeys, Laurence Claes |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 36% |
| Switzerland | 1 | 9% |
| United States | 1 | 9% |
| Belgium | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 21% |
| Researcher | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 39 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 43 | 38% |
| Nursing and Health Professions | 5 | 4% |
| Neuroscience | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 16 | 14% |
| Unknown | 40 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 April 2020.
All research outputs
#4,271,379
of 23,339,727 outputs
Outputs from Frontiers in Psychiatry
#2,166
of 10,449 outputs
Outputs of similar age
#91,955
of 367,781 outputs
Outputs of similar age from Frontiers in Psychiatry
#96
of 365 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 79% 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 367,781 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 74% of its contemporaries.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.