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Predicting Specificities Under the Non-self Gametophytic Self-Incompatibility Recognition Model

Overview of attention for article published in Frontiers in Plant Science, July 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Predicting Specificities Under the Non-self Gametophytic Self-Incompatibility Recognition Model
Published in
Frontiers in Plant Science, July 2019
DOI 10.3389/fpls.2019.00879
Pubmed ID
Authors

Jorge Vieira, Sara Rocha, Noé Vázquez, Hugo López-Fernández, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Cristina P. Vieira

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Researcher 4 15%
Student > Doctoral Student 3 11%
Professor 2 7%
Other 7 26%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 63%
Biochemistry, Genetics and Molecular Biology 2 7%
Mathematics 1 4%
Environmental Science 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 4 15%
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 05 July 2019.
All research outputs
#14,452,885
of 23,151,828 outputs
Outputs from Frontiers in Plant Science
#8,312
of 20,837 outputs
Outputs of similar age
#191,008
of 348,559 outputs
Outputs of similar age from Frontiers in Plant Science
#196
of 323 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,837 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 348,559 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 323 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.