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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study
|
|---|---|
| Published in |
BMC Psychiatry, March 2013
|
| DOI | 10.1186/1471-244x-13-72 |
| Pubmed ID | |
| Authors |
Hong-jun Peng, Hui-rong Zheng, Yu-ping Ning, Yan Zhang, Bao-ci Shan, Li Zhang, Hai-chen Yang, Jun Liu, Ze-xuan Li, Jian-song Zhou, Zhi-jun Zhang, Ling-jiang Li |
| Abstract |
White matter abnormalities can cause network dysfunction that underlies major depressive disorder (MDD). Diffusion tensor imaging (DTI) is used to examine the neural connectivity and integrity of the white matter. Previous studies have implicated frontolimbic neural networks in the pathophysiology of MDD. Approximately 30% of MDD patients demonstrate treatment-resistant depression (TRD). However, the neurobiology of TRD remains unclear. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 33% |
| Mexico | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 1% |
| Netherlands | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| New Zealand | 1 | 1% |
| Unknown | 77 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Researcher | 12 | 15% |
| Student > Master | 11 | 13% |
| Student > Doctoral Student | 11 | 13% |
| Student > Bachelor | 10 | 12% |
| Other | 11 | 13% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 30% |
| Medicine and Dentistry | 19 | 23% |
| Neuroscience | 13 | 16% |
| Agricultural and Biological Sciences | 4 | 5% |
| Computer Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 17 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 May 2013.
All research outputs
#6,922,550
of 22,699,621 outputs
Outputs from BMC Psychiatry
#2,312
of 4,642 outputs
Outputs of similar age
#58,364
of 193,964 outputs
Outputs of similar age from BMC Psychiatry
#43
of 84 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 49th percentile – i.e., 49% 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 193,964 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 68% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.