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Evaluation of three read-depth based CNV detection tools using whole-exome sequencing data

Overview of attention for article published in Molecular Cytogenetics, August 2017
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Mentioned by

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5 X users

Citations

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89 Dimensions

Readers on

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133 Mendeley
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Title
Evaluation of three read-depth based CNV detection tools using whole-exome sequencing data
Published in
Molecular Cytogenetics, August 2017
DOI 10.1186/s13039-017-0333-5
Pubmed ID
Authors

Ruen Yao, Cheng Zhang, Tingting Yu, Niu Li, Xuyun Hu, Xiumin Wang, Jian Wang, Yiping Shen

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 25%
Student > Ph. D. Student 27 20%
Student > Master 13 10%
Student > Postgraduate 12 9%
Student > Bachelor 10 8%
Other 13 10%
Unknown 25 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 38%
Agricultural and Biological Sciences 31 23%
Medicine and Dentistry 5 4%
Computer Science 5 4%
Engineering 4 3%
Other 6 5%
Unknown 32 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 April 2018.
All research outputs
#15,528,733
of 25,837,817 outputs
Outputs from Molecular Cytogenetics
#103
of 423 outputs
Outputs of similar age
#168,185
of 328,746 outputs
Outputs of similar age from Molecular Cytogenetics
#2
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 423 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 328,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.