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Editorial: Biomedical Data Visualization: Methods and Applications

Overview of attention for article published in Frontiers in Genetics, April 2022
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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9 Mendeley
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Title
Editorial: Biomedical Data Visualization: Methods and Applications
Published in
Frontiers in Genetics, April 2022
DOI 10.3389/fgene.2022.890775
Pubmed ID
Authors

Tianzhi Wu, Chuan-Le Xiao, Tommy Tsan-Yuk Lam, Guangchuang Yu

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 1 11%
Other 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Environmental Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Business, Management and Accounting 1 11%
Engineering 1 11%
Unknown 5 56%
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 27 April 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Genetics
#8,904
of 12,331 outputs
Outputs of similar age
#361,461
of 443,516 outputs
Outputs of similar age from Frontiers in Genetics
#563
of 924 outputs
Altmetric has tracked 23,312,088 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 12,331 research outputs from this source. They receive a mean Attention Score of 3.7. 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 443,516 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 924 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.