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Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity

Overview of attention for article published in JAMA Psychiatry, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
108 X users
patent
5 patents
facebook
9 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
1543 Dimensions

Readers on

mendeley
1070 Mendeley
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Title
Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity
Published in
JAMA Psychiatry, June 2015
DOI 10.1001/jamapsychiatry.2015.0071
Pubmed ID
Authors

Roselinde H. Kaiser, Jessica R. Andrews-Hanna, Tor D. Wager, Diego A. Pizzagalli

Abstract

Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC). However, given variable methods and results across studies, identifying consistent patterns of network dysfunction in MDD has been elusive.

X Demographics

X Demographics

The data shown below were collected from the profiles of 108 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 1,070 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
Japan 1 <1%
Switzerland 1 <1%
Unknown 1060 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 213 20%
Researcher 141 13%
Student > Bachelor 104 10%
Student > Master 97 9%
Student > Doctoral Student 85 8%
Other 163 15%
Unknown 267 25%
Readers by discipline Count As %
Psychology 246 23%
Neuroscience 220 21%
Medicine and Dentistry 127 12%
Agricultural and Biological Sciences 36 3%
Engineering 29 3%
Other 92 9%
Unknown 320 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 27 September 2023.
All research outputs
#292,637
of 25,750,437 outputs
Outputs from JAMA Psychiatry
#681
of 5,943 outputs
Outputs of similar age
#3,002
of 282,142 outputs
Outputs of similar age from JAMA Psychiatry
#12
of 67 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 70.9. This one has done well, scoring higher than 88% 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 282,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.