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Quantitative measurement of alterations in DNA damage repair (DDR) pathways using single cell network profiling (SCNP)

Overview of attention for article published in Journal of Translational Medicine, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

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8 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Quantitative measurement of alterations in DNA damage repair (DDR) pathways using single cell network profiling (SCNP)
Published in
Journal of Translational Medicine, June 2014
DOI 10.1186/1479-5876-12-184
Pubmed ID
Authors

David B Rosen, Ling Y Leung, Brent Louie, James A Cordeiro, Andrew Conroy, Iuliana Shapira, Scott Z Fields, Alessandra Cesano, Rachael E Hawtin

Abstract

Homologous recombination repair (HRR) pathway deficiencies have significant implications for cancer predisposition and treatment strategies. Improved quantitative methods for functionally characterizing these deficiencies are required to accurately identify patients at risk of developing cancer and to identify mechanisms of drug resistance or sensitivity.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
United States 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 8 15%
Professor 4 7%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 10 19%
Unknown 9 17%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Agricultural and Biological Sciences 13 24%
Biochemistry, Genetics and Molecular Biology 10 19%
Veterinary Science and Veterinary Medicine 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 9%
Unknown 10 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 March 2016.
All research outputs
#5,235,665
of 17,367,552 outputs
Outputs from Journal of Translational Medicine
#808
of 3,205 outputs
Outputs of similar age
#54,760
of 194,550 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,205 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 73% 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 194,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them