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Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture

Overview of attention for article published in Frontiers in Plant Science, January 2024
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2 X users

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3 Mendeley
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Title
Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture
Published in
Frontiers in Plant Science, January 2024
DOI 10.3389/fpls.2023.1260005
Pubmed ID
Authors

Mao Li, Zhengbin Liu, Ni Jiang, Benjamin Laws, Christine Tiskevich, Stephen P. Moose, Christopher N. Topp

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Doctoral Student 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Unspecified 1 33%
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 15 January 2024.
All research outputs
#20,478,808
of 25,168,110 outputs
Outputs from Frontiers in Plant Science
#16,287
of 24,171 outputs
Outputs of similar age
#113,897
of 166,151 outputs
Outputs of similar age from Frontiers in Plant Science
#153
of 330 outputs
Altmetric has tracked 25,168,110 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,171 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 20th percentile – i.e., 20% 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 166,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.