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High-throughput discovery of novel developmental phenotypes

Overview of attention for article published in Nature, September 2016
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Citations

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997 Dimensions

Readers on

mendeley
916 Mendeley
citeulike
4 CiteULike
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Title
High-throughput discovery of novel developmental phenotypes
Published in
Nature, September 2016
DOI 10.1038/nature19356
Pubmed ID
Authors

Matthew McKay, Barbara Urban, Caroline Lund, Erin Froeter, Taylor LaCasse, Adrienne Mehalow, Emily Gordon, Leah Rae Donahue, Robert Taft, Peter Kutney, Stephanie Dion, Leslie Goodwin, Susan Kales, Rachel Urban, Kristina Palmer, Fabien Pertuy, Deborah Bitz, Bruno Weber, Patrice Goetz-Reiner, Hughes Jacobs, Elise Le Marchand, Amal El Amri, Leila El Fertak, Hamid Ennah, Dalila Ali-Hadji, Abdel Ayadi, Marie Wattenhofer-Donze, Sylvie Jacquot, Philippe André, Marie-Christine Birling, Guillaume Pavlovic, Tania Sorg, Iva Morse, Frank Benso, Michelle E. Stewart, Carol Copley, Jackie Harrison, Samantha Joynson, Ruolin Guo, Dawei Qu, Shoshana Spring, Lisa Yu, Jacob Ellegood, Lily Morikawa, Xueyuan Shang, Pat Feugas, Amie Creighton, Patricia Castellanos Penton, Ozge Danisment, Nicola Griggs, Catherine L. Tudor, Angela L. Green, Cecilia Icoresi Mazzeo, Emma Siragher, Charlotte Lillistone, Elizabeth Tuck, Diane Gleeson, Debarati Sethi, Tanya Bayzetinova, Jonathan Burvill, Bishoy Habib, Lauren Weavers, Ryea Maswood, Evelina Miklejewska, Michael Woods, Evelyn Grau, Stuart Newman, Caroline Sinclair, Ellen Brown, Shinya Ayabe, Mizuho Iwama, Ayumi Murakami

Abstract

Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we identify 410 lethal genes during the production of the first 1,751 unique gene knockouts. Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes. Unexpectedly, our analysis reveals that incomplete penetrance and variable expressivity are common even on a defined genetic background. In addition, we show that human disease genes are enriched for essential genes, thus providing a dataset that facilitates the prioritization and validation of mutations identified in clinical sequencing efforts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 236 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 916 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Canada 3 <1%
United Kingdom 3 <1%
France 2 <1%
Italy 2 <1%
China 2 <1%
India 1 <1%
Finland 1 <1%
Hungary 1 <1%
Other 4 <1%
Unknown 893 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 204 22%
Researcher 194 21%
Student > Master 75 8%
Student > Bachelor 75 8%
Student > Doctoral Student 51 6%
Other 159 17%
Unknown 158 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 311 34%
Agricultural and Biological Sciences 206 22%
Medicine and Dentistry 59 6%
Neuroscience 57 6%
Computer Science 16 2%
Other 82 9%
Unknown 185 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 264. 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 01 November 2023.
All research outputs
#138,071
of 25,482,409 outputs
Outputs from Nature
#8,935
of 98,072 outputs
Outputs of similar age
#2,792
of 330,745 outputs
Outputs of similar age from Nature
#191
of 999 outputs
Altmetric has tracked 25,482,409 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 98,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done particularly well, scoring higher than 90% 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 330,745 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 99% of its contemporaries.
We're also able to compare this research output to 999 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.