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CorrelaGenes: a new tool for the interpretation of the human transcriptome

Overview of attention for article published in BMC Bioinformatics, January 2014
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Mentioned by

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1 Facebook page

Citations

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4 Dimensions

Readers on

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15 Mendeley
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Title
CorrelaGenes: a new tool for the interpretation of the human transcriptome
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-s1-s6
Pubmed ID
Authors

Paolo Cremaschi, Sergio Rovida, Lucia Sacchi, Antonella Lisa, Francesca Calvi, Alessandra Montecucco, Giuseppe Biamonti, Silvia Bione, Gianni Sacchi

Abstract

The amount of gene expression data available in public repositories has grown exponentially in the last years, now requiring new data mining tools to transform them in information easily accessible to biologists.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 33%
Student > Ph. D. Student 4 27%
Professor 3 20%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Engineering 3 20%
Agricultural and Biological Sciences 2 13%
Computer Science 2 13%
Nursing and Health Professions 1 7%
Other 2 13%
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 24 January 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from BMC Bioinformatics
#6,839
of 7,267 outputs
Outputs of similar age
#264,502
of 304,957 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 100 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,267 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 1st percentile – i.e., 1% 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 304,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.