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Lentiviral and targeted cellular barcoding reveals ongoing clonal dynamics of cell lines in vitro and in vivo

Overview of attention for article published in Genome Biology (Online Edition), January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
1 news outlet
twitter
24 tweeters
patent
3 patents
facebook
1 Facebook page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
198 Mendeley
citeulike
1 CiteULike
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Title
Lentiviral and targeted cellular barcoding reveals ongoing clonal dynamics of cell lines in vitro and in vivo
Published in
Genome Biology (Online Edition), January 2014
DOI 10.1186/gb-2014-15-5-r75
Pubmed ID
Authors

Shaina N Porter, Lee C Baker, David Mittelman, Matthew H Porteus

Abstract

Cell lines are often regarded as clonal, even though this simplifies what is known about mutagenesis, transformation and other processes that destabilize them over time. Monitoring these clonal dynamics is important for multiple areas of biomedical research, including stem cell and cancer biology. Tracking the contributions of individual cells to large populations, however, has been constrained by limitations in sensitivity and complexity.

Twitter Demographics

The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
France 1 <1%
Switzerland 1 <1%
Unknown 194 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 32%
Researcher 38 19%
Student > Master 26 13%
Student > Bachelor 16 8%
Student > Doctoral Student 13 7%
Other 21 11%
Unknown 21 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 33%
Biochemistry, Genetics and Molecular Biology 53 27%
Medicine and Dentistry 26 13%
Computer Science 5 3%
Engineering 5 3%
Other 18 9%
Unknown 25 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 15 September 2022.
All research outputs
#1,136,115
of 22,588,733 outputs
Outputs from Genome Biology (Online Edition)
#966
of 4,086 outputs
Outputs of similar age
#14,331
of 309,969 outputs
Outputs of similar age from Genome Biology (Online Edition)
#36
of 140 outputs
Altmetric has tracked 22,588,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,086 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 76% 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 309,969 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 140 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.