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How Evolving Heterogeneity Distributions of Resource Allocation Strategies Shape Mortality Patterns

Overview of attention for article published in PLoS Computational Biology, January 2013
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Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
1 CiteULike
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Title
How Evolving Heterogeneity Distributions of Resource Allocation Strategies Shape Mortality Patterns
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002825
Pubmed ID
Authors

Yann Le Cunff, Annette Baudisch, Khashayar Pakdaman

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

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Colombia 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 7 20%
Student > Master 4 11%
Student > Bachelor 2 6%
Student > Doctoral Student 1 3%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 40%
Medicine and Dentistry 4 11%
Psychology 3 9%
Physics and Astronomy 2 6%
Computer Science 1 3%
Other 5 14%
Unknown 6 17%
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 25 February 2013.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#7,575
of 9,035 outputs
Outputs of similar age
#201,806
of 296,978 outputs
Outputs of similar age from PLoS Computational Biology
#98
of 126 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 10th percentile – i.e., 10% 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 296,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.