↓ Skip to main content

Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers

Overview of attention for article published in Frontiers in Genetics, November 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
14 X users

Readers on

mendeley
142 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers
Published in
Frontiers in Genetics, November 2021
DOI 10.3389/fgene.2021.774846
Pubmed ID
Authors

Shuangbin Xu, Meijun Chen, Tingze Feng, Li Zhan, Lang Zhou, Guangchuang Yu

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 19 13%
Student > Master 18 13%
Student > Bachelor 12 8%
Student > Doctoral Student 7 5%
Other 12 8%
Unknown 43 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 19%
Biochemistry, Genetics and Molecular Biology 23 16%
Environmental Science 12 8%
Medicine and Dentistry 7 5%
Engineering 6 4%
Other 17 12%
Unknown 50 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 January 2022.
All research outputs
#4,570,776
of 24,518,979 outputs
Outputs from Frontiers in Genetics
#1,441
of 13,224 outputs
Outputs of similar age
#97,425
of 433,530 outputs
Outputs of similar age from Frontiers in Genetics
#72
of 800 outputs
Altmetric has tracked 24,518,979 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,224 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 89% 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 433,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 800 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.