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normGAM: an R package to remove systematic biases in genome architecture mapping data

Overview of attention for article published in BMC Genomics, December 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

mendeley
14 Mendeley
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Title
normGAM: an R package to remove systematic biases in genome architecture mapping data
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6331-8
Pubmed ID
Authors

Tong Liu, Zheng Wang

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Master 2 14%
Student > Ph. D. Student 2 14%
Other 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 4 29%
Mathematics 1 7%
Engineering 1 7%
Unknown 4 29%
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 07 May 2020.
All research outputs
#15,593,944
of 23,184,056 outputs
Outputs from BMC Genomics
#6,722
of 10,719 outputs
Outputs of similar age
#274,607
of 457,051 outputs
Outputs of similar age from BMC Genomics
#138
of 260 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,719 research outputs from this source. They receive a mean Attention Score of 4.7. 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 457,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.