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SNP array profiling of mouse cell lines identifies their strains of origin and reveals cross-contamination and widespread aneuploidy

Overview of attention for article published in BMC Genomics, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 X user
patent
2 patents

Citations

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41 Dimensions

Readers on

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61 Mendeley
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Title
SNP array profiling of mouse cell lines identifies their strains of origin and reveals cross-contamination and widespread aneuploidy
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-847
Pubmed ID
Authors

John P Didion, Ryan J Buus, Zohreh Naghashfar, David W Threadgill, Herbert C Morse, Fernando Pardo-Manuel de Villena

Abstract

The crisis of Misidentified and contaminated cell lines have plagued the biological research community for decades. Some repositories and journals have heeded calls for mandatory authentication of human cell lines, yet misidentification of mouse cell lines has received little publicity despite their importance in sponsored research. Short tandem repeat (STR) profiling is the standard authentication method, but it may fail to distinguish cell lines derived from the same inbred strain of mice. Additionally, STR profiling does not reveal karyotypic changes that occur in some high-passage lines and may have functional consequences. Single nucleotide polymorphism (SNP) profiling has been suggested as a more accurate and versatile alternative to STR profiling; however, a high-throughput method for SNP-based authentication of mouse cell lines has not been described.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Finland 1 2%
Netherlands 1 2%
United States 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 14 23%
Student > Bachelor 5 8%
Other 5 8%
Student > Master 4 7%
Other 9 15%
Unknown 8 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 31%
Agricultural and Biological Sciences 16 26%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Immunology and Microbiology 3 5%
Other 8 13%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 May 2020.
All research outputs
#4,510,306
of 22,775,504 outputs
Outputs from BMC Genomics
#1,876
of 10,642 outputs
Outputs of similar age
#50,770
of 253,927 outputs
Outputs of similar age from BMC Genomics
#30
of 203 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 253,927 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 203 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.