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Use of Genetic Data to Infer Population-Specific Ecological and Phenotypic Traits from Mixed Aggregations

Overview of attention for article published in PLOS ONE, June 2014
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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17 Mendeley
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Title
Use of Genetic Data to Infer Population-Specific Ecological and Phenotypic Traits from Mixed Aggregations
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0098470
Pubmed ID
Authors

Paul Moran, Jeffrey F. Bromaghin, Michele Masuda

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

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Ph. D. Student 4 24%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 47%
Biochemistry, Genetics and Molecular Biology 3 18%
Environmental Science 1 6%
Unknown 5 29%
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 09 July 2016.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from PLOS ONE
#185,712
of 225,486 outputs
Outputs of similar age
#183,415
of 246,666 outputs
Outputs of similar age from PLOS ONE
#3,320
of 4,382 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 9th percentile – i.e., 9% 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 246,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,382 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.