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G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2015
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1 X user

Citations

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7 Dimensions

Readers on

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17 Mendeley
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Title
G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods
Published in
Frontiers in Bioengineering and Biotechnology, March 2015
DOI 10.3389/fbioe.2015.00028
Pubmed ID
Authors

Andrea Manconi, Emanuele Manca, Marco Moscatelli, Matteo Gnocchi, Alessandro Orro, Giuliano Armano, Luciano Milanesi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Ph. D. Student 4 24%
Student > Master 4 24%
Student > Bachelor 1 6%
Unspecified 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 5 29%
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 4 24%
Unspecified 1 6%
Engineering 1 6%
Other 0 0%
Unknown 1 6%
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 15 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,388
of 6,524 outputs
Outputs of similar age
#188,720
of 258,975 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#34
of 46 outputs
Altmetric has tracked 22,794,367 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 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 258,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.