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Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data

Overview of attention for article published in Frontiers in Neuroinformatics, March 2019
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4 X users

Citations

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23 Dimensions

Readers on

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31 Mendeley
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Title
Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data
Published in
Frontiers in Neuroinformatics, March 2019
DOI 10.3389/fninf.2019.00016
Pubmed ID
Authors

Peter Kochunov, Binish Patel, Habib Ganjgahi, Brian Donohue, Meghann Ryan, Elliot L. Hong, Xu Chen, Bhim Adhikari, Neda Jahanshad, Paul M. Thompson, Dennis Van’t Ent, Anouk den Braber, Eco J. C. de Geus, Rachel M. Brouwer, Dorret I. Boomsma, Hilleke E. Hulshoff Pol, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, Thomas E. Nichols

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Professor 3 10%
Student > Bachelor 2 6%
Other 5 16%
Unknown 9 29%
Readers by discipline Count As %
Neuroscience 7 23%
Psychology 4 13%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Unspecified 1 3%
Other 3 10%
Unknown 12 39%
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 28 April 2019.
All research outputs
#14,443,511
of 23,136,540 outputs
Outputs from Frontiers in Neuroinformatics
#486
of 759 outputs
Outputs of similar age
#196,237
of 351,354 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#11
of 25 outputs
Altmetric has tracked 23,136,540 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 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 32nd percentile – i.e., 32% 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 351,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.