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An integrative genomic analysis revealed the relevance of microRNA and gene expression for drug-resistance in human breast cancer cells

Overview of attention for article published in Molecular Cancer, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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93 Dimensions

Readers on

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39 Mendeley
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Title
An integrative genomic analysis revealed the relevance of microRNA and gene expression for drug-resistance in human breast cancer cells
Published in
Molecular Cancer, November 2011
DOI 10.1186/1476-4598-10-135
Pubmed ID
Authors

Yusuke Yamamoto, Yusuke Yoshioka, Kaho Minoura, Ryou-u Takahashi, Fumitaka Takeshita, Toshiki Taya, Reiko Horii, Yayoi Fukuoka, Takashi Kato, Nobuyoshi Kosaka, Takahiro Ochiya

Abstract

Acquisition of drug-resistance in cancer has led to treatment failure, however, their mechanisms have not been clarified yet. Recent observations indicated that aberrant expressed microRNA (miRNA) caused by chromosomal alterations play a critical role in the initiation and progression of cancer. Here, we performed an integrated genomic analysis combined with array-based comparative hybridization, miRNA, and gene expression microarray to elucidate the mechanism of drug-resistance.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Ph. D. Student 4 10%
Student > Bachelor 3 8%
Other 3 8%
Student > Master 3 8%
Other 5 13%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Biochemistry, Genetics and Molecular Biology 11 28%
Medicine and Dentistry 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Mathematics 1 3%
Other 1 3%
Unknown 8 21%
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 09 July 2012.
All research outputs
#6,376,108
of 22,656,971 outputs
Outputs from Molecular Cancer
#442
of 1,713 outputs
Outputs of similar age
#39,291
of 141,801 outputs
Outputs of similar age from Molecular Cancer
#4
of 13 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,713 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% 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 141,801 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 70% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.