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Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer

Overview of attention for article published in BMC Systems Biology, December 2013
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Title
Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-s5-s1
Pubmed ID
Authors

Akshata R Udyavar, Megan D Hoeksema, Jonathan E Clark, Yong Zou, Zuojian Tang, Zhiguo Li, Ming Li, Heidi Chen, Alexander Statnikov, Yu Shyr, Daniel C Liebler, John Field, Rosana Eisenberg, Lourdes Estrada, Pierre P Massion, Vito Quaranta

Abstract

Oncogenic mechanisms in small-cell lung cancer remain poorly understood leaving this tumor with the worst prognosis among all lung cancers. Unlike other cancer types, sequencing genomic approaches have been of limited success in small-cell lung cancer, i.e., no mutated oncogenes with potential driver characteristics have emerged, as it is the case for activating mutations of epidermal growth factor receptor in non-small-cell lung cancer. Differential gene expression analysis has also produced SCLC signatures with limited application, since they are generally not robust across datasets. Nonetheless, additional genomic approaches are warranted, due to the increasing availability of suitable small-cell lung cancer datasets. Gene co-expression network approaches are a recent and promising avenue, since they have been successful in identifying gene modules that drive phenotypic traits in several biological systems, including other cancer types.

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The data shown below were collected from the profiles of 2 X users 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Sweden 1 1%
Taiwan 1 1%
Brazil 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Student > Bachelor 10 12%
Researcher 9 11%
Professor 7 8%
Student > Postgraduate 5 6%
Other 14 17%
Unknown 14 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 31%
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 12 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Computer Science 3 4%
Other 7 8%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 November 2014.
All research outputs
#15,288,160
of 22,736,112 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#192,376
of 306,960 outputs
Outputs of similar age from BMC Systems Biology
#33
of 59 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 306,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.