↓ Skip to main content

A comparative phenotypic and genomic analysis of C57BL/6J and C57BL/6N mouse strains

Overview of attention for article published in Genome Biology, July 2013
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
17 X users

Citations

dimensions_citation
396 Dimensions

Readers on

mendeley
559 Mendeley
citeulike
4 CiteULike
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
A comparative phenotypic and genomic analysis of C57BL/6J and C57BL/6N mouse strains
Published in
Genome Biology, July 2013
DOI 10.1186/gb-2013-14-7-r82
Pubmed ID
Authors

Michelle M Simon, Simon Greenaway, Jacqueline K White, Helmut Fuchs, Valérie Gailus-Durner, Sara Wells, Tania Sorg, Kim Wong, Elodie Bedu, Elizabeth J Cartwright, Romain Dacquin, Sophia Djebali, Jeanne Estabel, Jochen Graw, Neil J Ingham, Ian J Jackson, Andreas Lengeling, Silvia Mandillo, Jacqueline Marvel, Hamid Meziane, Frédéric Preitner, Oliver Puk, Michel Roux, David J Adams, Sarah Atkins, Abdel Ayadi, Lore Becker, Andrew Blake, Debra Brooker, Heather Cater, Marie-France Champy, Roy Combe, Petr Danecek, Armida di Fenza, Hilary Gates, Anna-Karin Gerdin, Elisabetta Golini, John M Hancock, Wolfgang Hans, Sabine M Hölter, Tertius Hough, Pierre Jurdic, Thomas M Keane, Hugh Morgan, Werner Müller, Frauke Neff, George Nicholson, Bastian Pasche, Laura-Anne Roberson, Jan Rozman, Mark Sanderson, Luis Santos, Mohammed Selloum, Carl Shannon, Anne Southwell, Glauco P Tocchini-Valentini, Valerie E Vancollie, Henrik Westerberg, Wolfgang Wurst, Min Zi, Binnaz Yalcin, Ramiro Ramirez-Solis, Karen P Steel, Ann-Marie Mallon, Martin Hrabě de Angelis, Yann Herault, Steve DM Brown

Abstract

The mouse inbred line C57BL/6J is widely used in mouse genetics and its genome has been incorporated into many genetic reference populations. More recently large initiatives such as the International Knockout Mouse Consortium (IKMC) are using the C57BL/6N mouse strain to generate null alleles for all mouse genes. Hence both strains are now widely used in mouse genetics studies. Here we perform a comprehensive genomic and phenotypic analysis of the two strains to identify differences that may influence their underlying genetic mechanisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 559 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Japan 3 <1%
Germany 2 <1%
Korea, Republic of 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Austria 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Other 4 <1%
Unknown 539 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 132 24%
Student > Ph. D. Student 124 22%
Student > Master 54 10%
Student > Bachelor 37 7%
Student > Doctoral Student 33 6%
Other 78 14%
Unknown 101 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 163 29%
Biochemistry, Genetics and Molecular Biology 108 19%
Neuroscience 51 9%
Medicine and Dentistry 47 8%
Immunology and Microbiology 33 6%
Other 32 6%
Unknown 125 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 22 March 2023.
All research outputs
#1,172,382
of 25,374,917 outputs
Outputs from Genome Biology
#879
of 4,467 outputs
Outputs of similar age
#9,806
of 209,809 outputs
Outputs of similar age from Genome Biology
#10
of 64 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 80% 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 209,809 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 95% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.