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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, January 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

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84 Dimensions

Readers on

mendeley
29 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, January 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.

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Ph. D. Student 5 17%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Other 2 7%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 41%
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 5 17%
Mathematics 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 3 10%

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
#3,162,372
of 12,483,518 outputs
Outputs from Molecular Cancer
#163
of 1,055 outputs
Outputs of similar age
#26,278
of 106,515 outputs
Outputs of similar age from Molecular Cancer
#1
of 2 outputs
Altmetric has tracked 12,483,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,055 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 83% 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 106,515 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 73% of its contemporaries.
We're also able to compare this research output to 2 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