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Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors

Overview of attention for article published in Genome Biology (Online Edition), January 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

blogs
1 blog
patent
3 patents

Citations

dimensions_citation
924 Dimensions

Readers on

mendeley
757 Mendeley
citeulike
3 CiteULike
connotea
3 Connotea
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Title
Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
Published in
Genome Biology (Online Edition), January 2007
DOI 10.1186/gb-2007-8-5-r76
Pubmed ID
Authors

Jason I Herschkowitz, Karl Simin, Victor J Weigman, Igor Mikaelian, Jerry Usary, Zhiyuan Hu, Karen E Rasmussen, Laundette P Jones, Shahin Assefnia, Subhashini Chandrasekharan, Michael G Backlund, Yuzhi Yin, Andrey I Khramtsov, Roy Bastein, John Quackenbush, Robert I Glazer, Powel H Brown, Jeffrey E Green, Levy Kopelovich, Priscilla A Furth, Juan P Palazzo, Olufunmilayo I Olopade, Philip S Bernard, Gary A Churchill, Terry Van Dyke, Charles M Perou

Abstract

Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors.

Mendeley readers

The data shown below were compiled from readership statistics for 757 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 8 1%
Germany 3 <1%
Argentina 2 <1%
France 2 <1%
Canada 2 <1%
India 1 <1%
Pakistan 1 <1%
Australia 1 <1%
Other 4 <1%
Unknown 724 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 201 27%
Researcher 119 16%
Student > Master 105 14%
Student > Bachelor 73 10%
Student > Doctoral Student 47 6%
Other 121 16%
Unknown 91 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 272 36%
Biochemistry, Genetics and Molecular Biology 182 24%
Medicine and Dentistry 117 15%
Pharmacology, Toxicology and Pharmaceutical Science 27 4%
Chemistry 12 2%
Other 41 5%
Unknown 106 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 May 2021.
All research outputs
#3,439,743
of 21,326,488 outputs
Outputs from Genome Biology (Online Edition)
#2,345
of 4,018 outputs
Outputs of similar age
#19,068
of 119,512 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,326,488 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 41st percentile – i.e., 41% 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 119,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them