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AutoCNV: a semiautomatic CNV interpretation system based on the 2019 ACMG/ClinGen Technical Standards for CNVs

Overview of attention for article published in BMC Genomics, October 2021
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1 X user

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28 Mendeley
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Title
AutoCNV: a semiautomatic CNV interpretation system based on the 2019 ACMG/ClinGen Technical Standards for CNVs
Published in
BMC Genomics, October 2021
DOI 10.1186/s12864-021-08011-4
Pubmed ID
Authors

Chunna Fan, Zhonghua Wang, Yan Sun, Jun Sun, Xi Liu, Licheng Kang, Yingshuo Xu, Manqiu Yang, Wentao Dai, Lijie Song, Xiaoming Wei, Jiale Xiang, Hui Huang, Meizhen Zhou, Fanwei Zeng, Lin Huang, Zhengfeng Xu, Zhiyu Peng

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 14%
Researcher 3 11%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 3 11%
Unknown 11 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Unspecified 4 14%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 11 39%
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 06 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BMC Genomics
#9,366
of 10,742 outputs
Outputs of similar age
#357,630
of 434,153 outputs
Outputs of similar age from BMC Genomics
#131
of 169 outputs
Altmetric has tracked 23,310,485 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 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. 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 434,153 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 169 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.