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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Do patient and ward-related characteristics influence the use of coercive measures? Results from the EUNOMIA international study
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, April 2014
|
| DOI | 10.1007/s00127-014-0872-6 |
| Pubmed ID | |
| Authors |
Lucie Kalisova, Jiri Raboch, Alexander Nawka, Gaia Sampogna, Libor Cihal, Thomas W. Kallert, Georgi Onchev, Anastasia Karastergiou, Valeria del Vecchio, Andrzej Kiejna, Tomasz Adamowski, Francisco Torres-Gonzales, Jorge A. Cervilla, Stephan Priebe, Domenico Giacco, Lars Kjellin, Algirdas Dembinskas, Andrea Fiorillo |
| Abstract |
This study aims to identify whether selected patient and ward-related factors are associated with the use of coercive measures. Data were collected as part of the EUNOMIA international collaborative study on the use of coercive measures in ten European countries. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 117 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 16% |
| Researcher | 16 | 13% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Other | 9 | 8% |
| Other | 22 | 18% |
| Unknown | 29 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 21% |
| Psychology | 23 | 19% |
| Nursing and Health Professions | 20 | 17% |
| Social Sciences | 7 | 6% |
| Neuroscience | 5 | 4% |
| Other | 5 | 4% |
| Unknown | 34 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 December 2018.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,023
of 2,534 outputs
Outputs of similar age
#121,832
of 204,881 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#30
of 36 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 14th percentile – i.e., 14% 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 204,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.