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Genes suppressed by DNA methylation in non-small cell lung cancer reveal the epigenetics of epithelial–mesenchymal transition

Overview of attention for article published in BMC Genomics, December 2014
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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2 X users
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63 Mendeley
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Title
Genes suppressed by DNA methylation in non-small cell lung cancer reveal the epigenetics of epithelial–mesenchymal transition
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1079
Pubmed ID
Authors

Steven H Lin, Jing Wang, Pierre Saintigny, Chia-Chin Wu, Uma Giri, Jing Zhang, Toshi Menju, Lixia Diao, Lauren Byers, John N Weinstein, Kevin R Coombes, Luc Girard, Ritsuko Komaki, Ignacio I Wistuba, Hiroshi Date, John D Minna, John V Heymach

Abstract

DNA methylation is associated with aberrant gene expression in cancer, and has been shown to correlate with therapeutic response and disease prognosis in some types of cancer. We sought to investigate the biological significance of DNA methylation in lung cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Researcher 13 21%
Student > Bachelor 9 14%
Student > Master 5 8%
Other 3 5%
Other 9 14%
Unknown 9 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 29%
Medicine and Dentistry 15 24%
Agricultural and Biological Sciences 9 14%
Computer Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 10%
Unknown 11 17%
Attention Score in Context

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 13 January 2016.
All research outputs
#7,778,510
of 25,374,647 outputs
Outputs from BMC Genomics
#3,316
of 11,244 outputs
Outputs of similar age
#99,534
of 368,088 outputs
Outputs of similar age from BMC Genomics
#94
of 307 outputs
Altmetric has tracked 25,374,647 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 368,088 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 72% of its contemporaries.
We're also able to compare this research output to 307 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 68% of its contemporaries.