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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 21 | 19% |
Canada | 6 | 6% |
United Kingdom | 5 | 5% |
France | 3 | 3% |
Chile | 2 | 2% |
Italy | 2 | 2% |
Germany | 2 | 2% |
Spain | 2 | 2% |
Venezuela, Bolivarian Republic of | 2 | 2% |
Other | 17 | 16% |
Unknown | 46 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 74 | 69% |
Scientists | 22 | 20% |
Practitioners (doctors, other healthcare professionals) | 11 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,075 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 | 1065 | 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 | 168 | 16% |
Unknown | 267 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 246 | 23% |
Neuroscience | 220 | 20% |
Medicine and Dentistry | 127 | 12% |
Agricultural and Biological Sciences | 36 | 3% |
Engineering | 29 | 3% |
Other | 97 | 9% |
Unknown | 320 | 30% |
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.