Title |
Biogenetic explanations and public acceptance of people with eating disorders
|
---|---|
Published in |
Social Psychiatry and Psychiatric Epidemiology, January 2013
|
DOI | 10.1007/s00127-012-0648-9 |
Pubmed ID | |
Authors |
Matthias C. Angermeyer, Eva Mnich, Anne Daubmann, Lena Herich, Karl Wegscheider, Christopher Kofahl, Olaf von dem Knesebeck |
Abstract |
It has been assumed that biogenetic causal models may improve public attitudes toward people with mental illnesses. The present study examines whether biogenetic attributions are positively associated with acceptance of people suffering from these disorders. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 75 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 20% |
Student > Bachelor | 11 | 14% |
Researcher | 9 | 12% |
Student > Ph. D. Student | 7 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 17 | 22% |
Unknown | 13 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 23 | 30% |
Social Sciences | 9 | 12% |
Medicine and Dentistry | 8 | 11% |
Neuroscience | 4 | 5% |
Agricultural and Biological Sciences | 4 | 5% |
Other | 12 | 16% |
Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 February 2013.
All research outputs
#3,026,128
of 23,845,863 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#585
of 2,592 outputs
Outputs of similar age
#31,323
of 287,296 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#8
of 24 outputs
Altmetric has tracked 23,845,863 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 77% 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 287,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.