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Prevalence of sexual dimorphism in mammalian phenotypic traits

Overview of attention for article published in Nature Communications, June 2017
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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 (95th percentile)

Mentioned by

news
19 news outlets
blogs
8 blogs
twitter
85 X users
facebook
6 Facebook pages
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
258 Mendeley
citeulike
3 CiteULike
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Title
Prevalence of sexual dimorphism in mammalian phenotypic traits
Published in
Nature Communications, June 2017
DOI 10.1038/ncomms15475
Pubmed ID
Authors

Natasha A. Karp, Jeremy Mason, Arthur L. Beaudet, Yoav Benjamini, Lynette Bower, Robert E. Braun, Steve D.M. Brown, Elissa J. Chesler, Mary E. Dickinson, Ann M. Flenniken, Helmut Fuchs, Martin Hrabe de Angelis, Xiang Gao, Shiying Guo, Simon Greenaway, Ruth Heller, Yann Herault, Monica J. Justice, Natalja Kurbatova, Christopher J. Lelliott, K.C. Kent Lloyd, Ann-Marie Mallon, Judith E. Mank, Hiroshi Masuya, Colin McKerlie, Terrence F. Meehan, Richard F. Mott, Stephen A. Murray, Helen Parkinson, Ramiro Ramirez-Solis, Luis Santos, John R. Seavitt, Damian Smedley, Tania Sorg, Anneliese O. Speak, Karen P. Steel, Karen L. Svenson, Shigeharu Wakana, David West, Sara Wells, Henrik Westerberg, Shay Yaacoby, Jacqueline K. White

Abstract

The role of sex in biomedical studies has often been overlooked, despite evidence of sexually dimorphic effects in some biological studies. Here, we used high-throughput phenotype data from 14,250 wildtype and 40,192 mutant mice (representing 2,186 knockout lines), analysed for up to 234 traits, and found a large proportion of mammalian traits both in wildtype and mutants are influenced by sex. This result has implications for interpreting disease phenotypes in animal models and humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 85 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 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 22%
Researcher 54 21%
Student > Master 25 10%
Student > Bachelor 25 10%
Professor 14 5%
Other 40 16%
Unknown 44 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 23%
Biochemistry, Genetics and Molecular Biology 47 18%
Neuroscience 21 8%
Medicine and Dentistry 19 7%
Immunology and Microbiology 12 5%
Other 43 17%
Unknown 56 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 237. 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 January 2024.
All research outputs
#159,876
of 25,468,789 outputs
Outputs from Nature Communications
#2,263
of 57,207 outputs
Outputs of similar age
#3,412
of 328,534 outputs
Outputs of similar age from Nature Communications
#46
of 1,066 outputs
Altmetric has tracked 25,468,789 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57,207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.6. This one has done particularly well, scoring higher than 96% 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 328,534 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 1,066 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 95% of its contemporaries.