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Attention Score in Context
Title |
Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
|
---|---|
Published in |
Frontiers in Psychiatry, November 2014
|
DOI | 10.3389/fpsyt.2014.00169 |
Pubmed ID | |
Authors |
Freek ten Doesschate, Philip van Eijndhoven, Indira Tendolkar, Guido A. van Wingen, Jeroen A. van Waarde |
Abstract |
Electroconvulsive therapy (ECT) is an effective treatment for patients with severe depression. Knowledge on factors predicting therapeutic response may help to identify patients who will benefit most from the intervention. Based on the neuroplasticity hypothesis, volumes of the amygdala and hippocampus are possible candidates for predicting treatment outcome. Therefore, this prospective cohort study examines the predictive value of amygdala and hippocampal volumes for the effectiveness of ECT. |
X Demographics
The data shown below were collected from the profiles of 10 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.
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 10% |
Turkey | 1 | 10% |
United States | 1 | 10% |
Switzerland | 1 | 10% |
Brazil | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 90% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 1% |
Unknown | 83 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 18% |
Student > Master | 14 | 17% |
Researcher | 12 | 14% |
Student > Doctoral Student | 8 | 10% |
Student > Bachelor | 7 | 8% |
Other | 13 | 15% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 27% |
Neuroscience | 21 | 25% |
Psychology | 9 | 11% |
Agricultural and Biological Sciences | 2 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 5 | 6% |
Unknown | 22 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 February 2015.
All research outputs
#4,420,535
of 22,770,070 outputs
Outputs from Frontiers in Psychiatry
#2,097
of 9,900 outputs
Outputs of similar age
#64,523
of 361,940 outputs
Outputs of similar age from Frontiers in Psychiatry
#14
of 54 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 78% 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 361,940 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 82% of its contemporaries.
We're also able to compare this research output to 54 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 74% of its contemporaries.