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Experimental data and computational modeling link auxin gradient and development in the Arabidopsis root

Overview of attention for article published in Frontiers in Plant Science, July 2014
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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2 X users

Citations

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51 Mendeley
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Title
Experimental data and computational modeling link auxin gradient and development in the Arabidopsis root
Published in
Frontiers in Plant Science, July 2014
DOI 10.3389/fpls.2014.00328
Pubmed ID
Authors

Natalie M Clark, Maria A de Luis Balaguer, Rosangela Sozzani

Abstract

The presence of an auxin gradient in the Arabidopsis root is crucial for proper root development and importantly, for stem cell niche (SCN) maintenance. Subsequently, developmental pathways in the root SCN regulate the formation of the auxin gradient. Combinations of experimental data and computational modeling enable the identification of pathways involved in establishing and maintaining the auxin gradient. We describe how the predictive power of these computational models is used to find how genes and their interactions tightly control the formation of an auxin maximum in the SCN. In addition, we highlight known connections between signaling pathways involving auxin and controlling patterning and development in Arabidopsis.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Czechia 1 2%
Germany 1 2%
France 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 9 18%
Professor 5 10%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 69%
Biochemistry, Genetics and Molecular Biology 6 12%
Environmental Science 1 2%
Mathematics 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2014.
All research outputs
#14,782,376
of 22,758,248 outputs
Outputs from Frontiers in Plant Science
#9,175
of 20,059 outputs
Outputs of similar age
#125,035
of 225,738 outputs
Outputs of similar age from Frontiers in Plant Science
#60
of 162 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,059 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 225,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.