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Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network

Overview of attention for article published in BMC Medical Genomics, October 2012
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
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Title
Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network
Published in
BMC Medical Genomics, October 2012
DOI 10.1186/1755-8794-5-43
Pubmed ID
Authors

Xin Chen, Wei Jiang, Qianghu Wang, Teng Huang, Peng Wang, Yan Li, Xiaowen Chen, Yingli Lv, Xia Li

Abstract

The identification of genes that predict in vitro cellular chemosensitivity of cancer cells is of great importance. Chemosensitivity related genes (CRGs) have been widely utilized to guide clinical and cancer chemotherapy decisions. In addition, CRGs potentially share functional characteristics and network features in protein interaction networks (PPIN).

Twitter Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Bachelor 3 17%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Student > Master 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Computer Science 6 33%
Engineering 2 11%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 1 6%
Unknown 4 22%

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 30 October 2012.
All research outputs
#14,151,903
of 22,679,690 outputs
Outputs from BMC Medical Genomics
#563
of 1,212 outputs
Outputs of similar age
#99,120
of 172,325 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 14 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,212 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 50% 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 172,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.