| Title |
The relationship between neighborhood-level socioeconomic characteristics and individual mental disorders in five cities in Latin America: multilevel models from the World Mental Health Surveys
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, September 2018
|
| DOI | 10.1007/s00127-018-1595-x |
| Pubmed ID | |
| Authors |
Laura Sampson, Silvia S. Martins, Shui Yu, Alexandre Dias Porto Chiavegatto Filho, Laura Helena Andrade, Maria Carmen Viana, Maria Elena Medina-Mora, Corina Benjet, Yolanda Torres, Marina Piazza, Sergio Aguilar-Gaxiola, Alfredo H. Cia, Juan Carlos Stagnaro, Alan M. Zaslavsky, Ronald C. Kessler, Sandro Galea |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 11% |
| Brazil | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 15% |
| Researcher | 16 | 11% |
| Student > Bachelor | 16 | 11% |
| Student > Ph. D. Student | 14 | 10% |
| Student > Doctoral Student | 10 | 7% |
| Other | 21 | 15% |
| Unknown | 43 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 18% |
| Medicine and Dentistry | 22 | 16% |
| Social Sciences | 14 | 10% |
| Nursing and Health Professions | 8 | 6% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 18 | 13% |
| Unknown | 51 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 August 2023.
All research outputs
#6,263,031
of 24,945,754 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,121
of 2,691 outputs
Outputs of similar age
#101,333
of 341,167 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#30
of 40 outputs
Altmetric has tracked 24,945,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 58% 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 341,167 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 70% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.