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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
16 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Student > Ph. D. Student 4 25%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 50%
Biochemistry, Genetics and Molecular Biology 3 19%
Environmental Science 1 6%
Unknown 4 25%

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
#13,721,098
of 20,585,116 outputs
Outputs from PLOS ONE
#115,332
of 177,664 outputs
Outputs of similar age
#159,091
of 272,881 outputs
Outputs of similar age from PLOS ONE
#2,837
of 4,354 outputs
Altmetric has tracked 20,585,116 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 177,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 26th percentile – i.e., 26% 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 272,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,354 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.