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A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions

Overview of attention for article published in Genome Biology, May 2014
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4 X users

Citations

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44 Mendeley
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Title
A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions
Published in
Genome Biology, May 2014
DOI 10.1186/gb-2014-15-5-r71
Pubmed ID
Authors

Alayne L Brunner, Jun Li, Xiangqian Guo, Robert T Sweeney, Sushama Varma, Shirley X Zhu, Rui Li, Robert Tibshirani, Robert B West

Abstract

The earliest recognizable stages of breast neoplasia are lesions that represent a heterogeneous collection of epithelial proliferations currently classified based on morphology. Their role in the development of breast cancer is not well understood but insight into the critical events at this early stage will improve efforts in breast cancer detection and prevention. These microscopic lesions are technically difficult to study so very little is known about their molecular alterations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
China 1 2%
Belgium 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Master 8 18%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Professor 2 5%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 30%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 5 11%
Computer Science 3 7%
Engineering 3 7%
Other 3 7%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 June 2014.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from Genome Biology
#4,001
of 4,467 outputs
Outputs of similar age
#130,464
of 240,002 outputs
Outputs of similar age from Genome Biology
#36
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 9th percentile – i.e., 9% 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 240,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.