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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain-Derived Neurotrophic Factor and Major Depressive Disorder: Evidence from Meta-Analyses
|
|---|---|
| Published in |
Frontiers in Psychiatry, January 2018
|
| DOI | 10.3389/fpsyt.2017.00308 |
| Pubmed ID | |
| Authors |
Taro Kishi, Reiji Yoshimura, Toshikazu Ikuta, Nakao Iwata |
| Abstract |
Accumulating evidence suggests that brain-derived neurotrophic factor (BDNF) is associated with the pathophysiology of major depressive disorder (MDD). In this mini review, we explored the association between BDNF and MDD using meta-analytic evidence. Our findings indicated that the Val66Met polymorphism in the BDNF gene was not associated with MDD or hippocampal volume in patients with MDD. However, plasma/serum levels of BDNF were decreased in patients with acute MDD compared with healthy controls. Both antidepressant treatment and electroconvulsive therapy increased plasma and serum levels of BDNF in patients with MDD. Val66Met polymorphism in the BDNF gene was associated with an antidepressant response in patients with MDD. Taken together, we did not detect any plausible evidence regarding Val66Met polymorphism in the BDNF gene contributing to a risk of MDD. However, peripheral BDNF levels are decreased in patients with MDD, and the polymorphisms are associated with treatment response. In conclusion, BDNF is best understood to be a biomarker for the state of MDD and its treatment response rather than a risk factor for MDD. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 172 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 13% |
| Student > Bachelor | 19 | 11% |
| Researcher | 18 | 10% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Doctoral Student | 9 | 5% |
| Other | 30 | 17% |
| Unknown | 58 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 28 | 16% |
| Medicine and Dentistry | 21 | 12% |
| Biochemistry, Genetics and Molecular Biology | 15 | 9% |
| Agricultural and Biological Sciences | 12 | 7% |
| Psychology | 12 | 7% |
| Other | 18 | 10% |
| Unknown | 66 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 October 2023.
All research outputs
#17,539,242
of 26,505,350 outputs
Outputs from Frontiers in Psychiatry
#6,598
of 13,214 outputs
Outputs of similar age
#279,553
of 457,637 outputs
Outputs of similar age from Frontiers in Psychiatry
#75
of 112 outputs
Altmetric has tracked 26,505,350 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 45th percentile – i.e., 45% 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 457,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.