↓ Skip to main content

Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex

Overview of attention for article published in Frontiers in Neuroscience, November 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex
Published in
Frontiers in Neuroscience, November 2022
DOI 10.3389/fnins.2022.1040085
Pubmed ID
Authors

Zachary Jacokes, Allison Jack, Catherine A. W. Sullivan, Elizabeth Aylward, Susan Y. Bookheimer, Mirella Dapretto, Raphael A. Bernier, Daniel H. Geschwind, Denis G. Sukhodolsky, James C. McPartland, Sara J. Webb, Carinna M. Torgerson, Jeffrey Eilbott, Lauren Kenworthy, Kevin A. Pelphrey, John D. Van Horn, The GENDAAR Consortium, Katy Ankenman, Sarah Corrigan, Dianna Depedro-Mercier, Nadine Gaab, Desiree Guilford, Abha R. Gupta, Shafali Jeste, Cara M. Keifer, Anna Kresse, Erin Libsack, Jennifer K. Lowe, Erin MacDonnell, Nicole McDonald, Adam Naples, Charles A. Nelson, Emily Neuhaus, Pamela Ventola, Olivia Welker, Julie Wolf

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 13%
Lecturer 2 13%
Student > Bachelor 1 6%
Unknown 11 69%
Readers by discipline Count As %
Unspecified 2 13%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Social Sciences 1 6%
Unknown 11 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 December 2022.
All research outputs
#7,156,058
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#4,633
of 11,543 outputs
Outputs of similar age
#120,477
of 415,451 outputs
Outputs of similar age from Frontiers in Neuroscience
#96
of 402 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 59% 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 415,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 402 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.