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Identification of reproducible gene expression signatures in lung adenocarcinoma

Overview of attention for article published in BMC Bioinformatics, December 2013
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Mentioned by

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2 tweeters

Citations

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13 Dimensions

Readers on

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23 Mendeley
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1 CiteULike
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Title
Identification of reproducible gene expression signatures in lung adenocarcinoma
Published in
BMC Bioinformatics, December 2013
DOI 10.1186/1471-2105-14-371
Pubmed ID
Authors

Tzu-Pin Lu, Eric Y Chuang, James J Chen

Abstract

Lung cancer is the leading cause of cancer-related death worldwide. Tremendous research efforts have been devoted to improving treatment procedures, but the average five-year overall survival rates are still less than 20%. Many biomarkers have been identified for predicting survival; challenges arise, however, in translating the findings into clinical practice due to their inconsistency and irreproducibility. In this study, we proposed an approach by identifying predictive genes through pathways.

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

Geographical breakdown

Country Count As %
Netherlands 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 39%
Student > Ph. D. Student 5 22%
Student > Master 3 13%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Biochemistry, Genetics and Molecular Biology 6 26%
Medicine and Dentistry 3 13%
Computer Science 2 9%
Unknown 3 13%

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 27 December 2013.
All research outputs
#16,646,071
of 21,358,488 outputs
Outputs from BMC Bioinformatics
#5,663
of 6,927 outputs
Outputs of similar age
#217,192
of 304,508 outputs
Outputs of similar age from BMC Bioinformatics
#295
of 361 outputs
Altmetric has tracked 21,358,488 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,927 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 304,508 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 361 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.