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Genome-wide analysis of three-way interplay among gene expression, cancer cell invasion and anti-cancer compound sensitivity

Overview of attention for article published in BMC Medicine, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
14 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
73 Mendeley
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Title
Genome-wide analysis of three-way interplay among gene expression, cancer cell invasion and anti-cancer compound sensitivity
Published in
BMC Medicine, April 2013
DOI 10.1186/1741-7015-11-106
Pubmed ID
Authors

Yi-Chiung Hsu, Hsuan-Yu Chen, Shinsheng Yuan, Sung-Liang Yu, Chia-Hung Lin, Guani Wu, Pan-Chyr Yang, Ker-Chau Li

Abstract

Chemosensitivity and tumor metastasis are two primary issues in cancer management. Cancer cells often exhibit a wide range of sensitivity to anti-cancer compounds. To gain insight on the genetic mechanism of drug sensitivity, one powerful approach is to employ the panel of 60 human cancer cell lines developed by the National Cancer Institute (NCI). Cancer cells also show a broad range of invasion ability. However, a genome-wide portrait on the contributing molecular factors to invasion heterogeneity is lacking.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 1%
Poland 1 1%
Denmark 1 1%
Austria 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 14 19%
Student > Bachelor 9 12%
Student > Doctoral Student 8 11%
Student > Master 7 10%
Other 14 19%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 38%
Medicine and Dentistry 17 23%
Biochemistry, Genetics and Molecular Biology 8 11%
Immunology and Microbiology 2 3%
Mathematics 2 3%
Other 8 11%
Unknown 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 22 April 2013.
All research outputs
#764,985
of 19,200,799 outputs
Outputs from BMC Medicine
#585
of 2,868 outputs
Outputs of similar age
#5,098
of 130,090 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 19,200,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done well, scoring higher than 79% 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 130,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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