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General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks

Overview of attention for article published in NeuroImage, January 2019
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
74 X users

Citations

dimensions_citation
235 Dimensions

Readers on

mendeley
352 Mendeley
citeulike
1 CiteULike
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Title
General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks
Published in
NeuroImage, January 2019
DOI 10.1016/j.neuroimage.2019.01.068
Pubmed ID
Authors

Maxwell L. Elliott, Annchen R. Knodt, Megan Cooke, M. Justin Kim, Tracy R. Melzer, Ross Keenan, David Ireland, Sandhya Ramrakha, Richie Poulton, Avshalom Caspi, Terrie E. Moffitt, Ahmad R. Hariri

X Demographics

X Demographics

The data shown below were collected from the profiles of 74 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 352 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 352 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 24%
Researcher 61 17%
Student > Master 42 12%
Student > Bachelor 20 6%
Student > Postgraduate 15 4%
Other 54 15%
Unknown 76 22%
Readers by discipline Count As %
Neuroscience 96 27%
Psychology 74 21%
Agricultural and Biological Sciences 14 4%
Medicine and Dentistry 14 4%
Engineering 13 4%
Other 33 9%
Unknown 108 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 17 April 2023.
All research outputs
#979,020
of 25,784,004 outputs
Outputs from NeuroImage
#527
of 12,288 outputs
Outputs of similar age
#22,901
of 450,300 outputs
Outputs of similar age from NeuroImage
#13
of 181 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,288 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 95% 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 450,300 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 94% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.