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Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots

Overview of attention for article published in Frontiers in Plant Science, September 2022
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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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7 Dimensions

Readers on

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21 Mendeley
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Title
Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots
Published in
Frontiers in Plant Science, September 2022
DOI 10.3389/fpls.2022.1001023
Pubmed ID
Authors

Miguel Angel Alcalde, Maren Müller, Sergi Munné-Bosch, Mariana Landín, Pedro Pablo Gallego, Mercedes Bonfill, Javier Palazon, Diego Hidalgo-Martinez

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 33%
Student > Ph. D. Student 2 10%
Student > Bachelor 1 5%
Student > Master 1 5%
Unknown 10 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Biochemistry, Genetics and Molecular Biology 3 14%
Chemistry 1 5%
Engineering 1 5%
Unknown 11 52%
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 11 November 2022.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Frontiers in Plant Science
#11,057
of 20,698 outputs
Outputs of similar age
#235,304
of 431,888 outputs
Outputs of similar age from Frontiers in Plant Science
#610
of 1,373 outputs
Altmetric has tracked 23,090,520 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 20,698 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 40th percentile – i.e., 40% 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 431,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,373 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.