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A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis

Overview of attention for article published in BioData Mining, February 2018
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 Mendeley
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Title
A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis
Published in
BioData Mining, February 2018
DOI 10.1186/s13040-018-0163-y
Pubmed ID
Authors

Wenyi Qin, Hui Lu

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Bachelor 3 19%
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Other 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 19%
Agricultural and Biological Sciences 3 19%
Computer Science 2 13%
Engineering 2 13%
Neuroscience 2 13%
Other 1 6%
Unknown 3 19%

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 23 February 2018.
All research outputs
#10,955,240
of 13,789,144 outputs
Outputs from BioData Mining
#205
of 238 outputs
Outputs of similar age
#145,144
of 200,868 outputs
Outputs of similar age from BioData Mining
#13
of 14 outputs
Altmetric has tracked 13,789,144 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 5th percentile – i.e., 5% 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 200,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.