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Mendeley readers
Attention Score in Context
| Title |
Relationship of cortisol levels and genetic polymorphisms to antidepressant response to placebo and fluoxetine in patients with major depressive disorder: a prospective study
|
|---|---|
| Published in |
BMC Psychiatry, August 2014
|
| DOI | 10.1186/s12888-014-0220-0 |
| Pubmed ID | |
| Authors |
Raúl Ventura-Juncá, Adriana Symon, Pamela López, Jenny L Fiedler, Graciela Rojas, Cristóbal Heskia, Pamela Lara, Felipe Marín, Viviana Guajardo, A Verónica Araya, Jaime Sasso, Luisa Herrera |
| Abstract |
Increased cortisol levels and genetic polymorphisms have been related to both major depressive disorder and antidepressant treatment outcome. The aim of this study is to evaluate the relationship between circadian salivary cortisol levels, cortisol suppression by dexamethasone and genetic polymorphisms in some HPA axis-related genes to the response to placebo and fluoxetine in depressed patients. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 104 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 20% |
| Student > Ph. D. Student | 12 | 11% |
| Researcher | 12 | 11% |
| Student > Master | 12 | 11% |
| Student > Doctoral Student | 9 | 8% |
| Other | 16 | 15% |
| Unknown | 24 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 25% |
| Agricultural and Biological Sciences | 14 | 13% |
| Psychology | 11 | 10% |
| Neuroscience | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 28 | 26% |
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 19 January 2015.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Psychiatry
#3,895
of 4,939 outputs
Outputs of similar age
#158,317
of 232,360 outputs
Outputs of similar age from BMC Psychiatry
#62
of 74 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 16th percentile – i.e., 16% 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 232,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.