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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antidepressant Treatment Normalizes White Matter Volume in Patients with Major Depression
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0044248 |
| Pubmed ID | |
| Authors |
Ling-Li Zeng, Li Liu, Yadong Liu, Hui Shen, Yaming Li, Dewen Hu |
| Abstract |
To investigate white matter volume abnormalities in patients with major depression and the effects of antidepressant treatment on white matter volume. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 2 | 17% |
| United Kingdom | 1 | 8% |
| Australia | 1 | 8% |
| Chile | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 71 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Student > Bachelor | 12 | 16% |
| Student > Master | 11 | 15% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Psychology | 16 | 22% |
| Neuroscience | 10 | 14% |
| Agricultural and Biological Sciences | 5 | 7% |
| Business, Management and Accounting | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 20 | 27% |
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 10 January 2019.
All research outputs
#4,243,385
of 25,654,806 outputs
Outputs from PLOS ONE
#52,209
of 223,967 outputs
Outputs of similar age
#29,616
of 188,202 outputs
Outputs of similar age from PLOS ONE
#852
of 4,377 outputs
Altmetric has tracked 25,654,806 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 223,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 76% 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 188,202 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 84% of its contemporaries.
We're also able to compare this research output to 4,377 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.