| Title |
Temperamental factors predict long-term modifications of eating disorders after treatment
|
|---|---|
| Published in |
BMC Psychiatry, November 2013
|
| DOI | 10.1186/1471-244x-13-288 |
| Pubmed ID | |
| Authors |
Cristina Segura-García, Dora Chiodo, Flora Sinopoli, Pasquale De Fazio |
| Abstract |
Eating Disorders (EDs) are complex psychiatric pathologies characterized by moderate to poor response to treatment. Criteria of remission and recovery are not yet well defined. Simultaneously, personality plays a key role among the factors that determine treatment outcome. The aim of the present research is to evaluate the possibility of temperamental and character traits to predict the long-term outcome of ED. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 21% |
| Student > Bachelor | 14 | 21% |
| Student > Master | 10 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 41% |
| Medicine and Dentistry | 9 | 14% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Environmental Science | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 17 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 November 2013.
All research outputs
#3,655,924
of 22,729,647 outputs
Outputs from BMC Psychiatry
#1,302
of 4,659 outputs
Outputs of similar age
#34,938
of 215,614 outputs
Outputs of similar age from BMC Psychiatry
#36
of 96 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 71% 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 215,614 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 83% of its contemporaries.
We're also able to compare this research output to 96 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 62% of its contemporaries.