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Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study

Overview of attention for article published in BMC Psychiatry, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
3 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
76 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 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 71 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 12 16%
Student > Doctoral Student 11 14%
Student > Master 10 13%
Student > Bachelor 9 12%
Other 9 12%
Unknown 10 13%
Readers by discipline Count As %
Psychology 25 33%
Medicine and Dentistry 18 24%
Neuroscience 11 14%
Agricultural and Biological Sciences 4 5%
Computer Science 1 1%
Other 2 3%
Unknown 15 20%

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
#924,776
of 4,507,144 outputs
Outputs from BMC Psychiatry
#532
of 1,485 outputs
Outputs of similar age
#20,881
of 89,018 outputs
Outputs of similar age from BMC Psychiatry
#37
of 88 outputs
Altmetric has tracked 4,507,144 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,485 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 63% 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 89,018 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 76% of its contemporaries.
We're also able to compare this research output to 88 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 56% of its contemporaries.