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Deciphering causal and statistical relations of molecular aberrations and gene expressions in NCI-60 cell lines

Overview of attention for article published in BMC Systems Biology, November 2011
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1 tweeter

Citations

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Readers on

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Title
Deciphering causal and statistical relations of molecular aberrations and gene expressions in NCI-60 cell lines
Published in
BMC Systems Biology, November 2011
DOI 10.1186/1752-0509-5-186
Pubmed ID
Authors

Shyh-Dar Li, Tatsuaki Tagami, Ying-Fu Ho, Chen-Hsiang Yeang

Abstract

Cancer cells harbor a large number of molecular alterations such as mutations, amplifications and deletions on DNA sequences and epigenetic changes on DNA methylations. These aberrations may dysregulate gene expressions, which in turn drive the malignancy of tumors. Deciphering the causal and statistical relations of molecular aberrations and gene expressions is critical for understanding the molecular mechanisms of clinical phenotypes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
United States 1 3%
Denmark 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 38%
Student > Ph. D. Student 4 13%
Professor > Associate Professor 4 13%
Other 2 6%
Student > Doctoral Student 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Other 5 16%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 November 2011.
All research outputs
#12,357,523
of 18,796,975 outputs
Outputs from BMC Systems Biology
#637
of 1,127 outputs
Outputs of similar age
#83,443
of 126,444 outputs
Outputs of similar age from BMC Systems Biology
#61
of 112 outputs
Altmetric has tracked 18,796,975 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 126,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.