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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

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
87 Mendeley
Summary Twitter Facebook Google+ Dimensions citations
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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
23452374
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.

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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 87 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 82 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 12 14%
Student > Master 11 13%
Student > Doctoral Student 11 13%
Student > Bachelor 10 11%
Other 17 20%
Unknown 9 10%
Readers by discipline Count As %
Psychology 25 29%
Medicine and Dentistry 19 22%
Neuroscience 13 15%
Unspecified 7 8%
Agricultural and Biological Sciences 4 5%
Other 4 5%
Unknown 15 17%

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.

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