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American Association for Cancer Research

Article Metrics

Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, February 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
39 tweeters
reddit
1 Redditor

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
Title
Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines
Published in
Cancer Epidemiology, Biomarkers & Prevention, February 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

Twitter Demographics

The data shown below were collected from the profiles of 39 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 5 20%
Student > Doctoral Student 3 12%
Student > Master 2 8%
Student > Bachelor 1 4%
Other 1 4%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Medicine and Dentistry 3 12%
Engineering 3 12%
Agricultural and Biological Sciences 2 8%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 8 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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
#256,128
of 17,944,974 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#107
of 3,989 outputs
Outputs of similar age
#7,086
of 276,179 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#2
of 87 outputs
Altmetric has tracked 17,944,974 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 3,989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 97% 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 276,179 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 87 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.