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Inferring causal genomic alterations in breast cancer using gene expression data

Overview of attention for article published in BMC Systems Biology, August 2011
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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57 Dimensions

Readers on

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119 Mendeley
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Title
Inferring causal genomic alterations in breast cancer using gene expression data
Published in
BMC Systems Biology, August 2011
DOI 10.1186/1752-0509-5-121
Pubmed ID
Authors

Linh M Tran, Bin Zhang, Zhan Zhang, Chunsheng Zhang, Tao Xie, John R Lamb, Hongyue Dai, Eric E Schadt, Jun Zhu

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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 7%
Sweden 2 2%
Belgium 2 2%
United Kingdom 2 2%
France 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Hungary 1 <1%
Other 0 0%
Unknown 100 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 34%
Student > Ph. D. Student 26 22%
Student > Master 10 8%
Professor 10 8%
Professor > Associate Professor 9 8%
Other 15 13%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 46%
Biochemistry, Genetics and Molecular Biology 19 16%
Medicine and Dentistry 14 12%
Computer Science 5 4%
Mathematics 5 4%
Other 11 9%
Unknown 10 8%
Attention Score in Context

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 26 December 2011.
All research outputs
#15,674,939
of 23,292,144 outputs
Outputs from BMC Systems Biology
#647
of 1,144 outputs
Outputs of similar age
#86,050
of 120,923 outputs
Outputs of similar age from BMC Systems Biology
#17
of 40 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 120,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.