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American Association for Cancer Research

Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, June 2019
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
10 news outlets
twitter
34 X users
reddit
1 Redditor

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
45 Mendeley
Title
Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines
Published in
Cancer Epidemiology, Biomarkers & Prevention, June 2019
DOI 10.1158/1055-9965.epi-18-1132
Pubmed ID
Authors

Stanley E Hooker, Leanne Woods-Burnham, Madhavi Bathina, Stacy Lloyd, Priyatham Gorjala, Ranjana Mitra, Larisa Nonn, K Sean Kimbro, Rick A Kittles

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Doctoral Student 5 11%
Student > Bachelor 5 11%
Student > Ph. D. Student 5 11%
Professor > Associate Professor 4 9%
Other 4 9%
Unknown 11 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 5 11%
Engineering 3 7%
Nursing and Health Professions 2 4%
Other 3 7%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 13 May 2021.
All research outputs
#474,026
of 25,559,053 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#178
of 4,855 outputs
Outputs of similar age
#10,080
of 365,758 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#2
of 55 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done particularly well, scoring higher than 96% 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 365,758 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 97% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.