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Delimiting species in the taxonomically challenging orchid section Pseudophrys: Bayesian analyses of genetic and phenotypic data

Overview of attention for article published in Frontiers in Ecology and Evolution, November 2022
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2 X users

Citations

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4 Mendeley
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Title
Delimiting species in the taxonomically challenging orchid section Pseudophrys: Bayesian analyses of genetic and phenotypic data
Published in
Frontiers in Ecology and Evolution, November 2022
DOI 10.3389/fevo.2022.1058550
Authors

Nina Joffard, Bruno Buatois, Véronique Arnal, Errol Véla, Claudine Montgelard, Bertrand Schatz

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Bachelor 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Computer Science 1 25%
Unknown 2 50%
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 24 November 2022.
All research outputs
#18,703,173
of 23,179,757 outputs
Outputs from Frontiers in Ecology and Evolution
#3,165
of 4,274 outputs
Outputs of similar age
#301,488
of 438,888 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#167
of 285 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 15th percentile – i.e., 15% 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 438,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.