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Grey matter volume abnormalities in patients with bipolar I depressive disorder and unipolar depressive disorder: a voxel-based morphometry study

Overview of attention for article published in Neuroscience Bulletin, December 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
83 Mendeley
Title
Grey matter volume abnormalities in patients with bipolar I depressive disorder and unipolar depressive disorder: a voxel-based morphometry study
Published in
Neuroscience Bulletin, December 2014
DOI 10.1007/s12264-014-1485-5
Pubmed ID
Authors

Yi Cai, Jun Liu, Li Zhang, Mei Liao, Yan Zhang, Lifeng Wang, Hongjun Peng, Zhong He, Zexuan Li, Weihui Li, Shaojia Lu, Yuqiang Ding, Lingjiang Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Argentina 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Researcher 11 13%
Student > Doctoral Student 9 11%
Student > Master 7 8%
Student > Bachelor 7 8%
Other 12 14%
Unknown 25 30%
Readers by discipline Count As %
Neuroscience 15 18%
Medicine and Dentistry 14 17%
Psychology 10 12%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 7 8%
Unknown 33 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 September 2015.
All research outputs
#14,697,788
of 22,828,180 outputs
Outputs from Neuroscience Bulletin
#339
of 770 outputs
Outputs of similar age
#200,787
of 361,408 outputs
Outputs of similar age from Neuroscience Bulletin
#5
of 13 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 55% 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 361,408 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 61% of its contemporaries.