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A modularity-based approach for identifying biodiversity management units

Overview of attention for article published in Revista Chilena de Historia Natural, February 2018
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1 X user

Citations

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10 Dimensions

Readers on

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31 Mendeley
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Title
A modularity-based approach for identifying biodiversity management units
Published in
Revista Chilena de Historia Natural, February 2018
DOI 10.1186/s40693-018-0072-y
Authors

Ana Inés Borthagaray, Alvaro Soutullo, Alvar Carranza, Matías Arim

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Professor > Associate Professor 3 10%
Student > Bachelor 2 6%
Other 7 23%
Unknown 6 19%
Readers by discipline Count As %
Environmental Science 10 32%
Agricultural and Biological Sciences 7 23%
Philosophy 1 3%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 16%
Unknown 6 19%
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 27 February 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Revista Chilena de Historia Natural
#154
of 214 outputs
Outputs of similar age
#222,408
of 343,860 outputs
Outputs of similar age from Revista Chilena de Historia Natural
#3
of 3 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 214 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 19th percentile – i.e., 19% 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 343,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.