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Public Goods Games on Coevolving Social Network Models

Overview of attention for article published in Frontiers in Physics, March 2020
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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32 Mendeley
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Title
Public Goods Games on Coevolving Social Network Models
Published in
Frontiers in Physics, March 2020
DOI 10.3389/fphy.2020.00058
Authors

Marco Tomassini, Alberto Antonioni

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Student > Master 4 13%
Lecturer 2 6%
Researcher 2 6%
Other 6 19%
Unknown 7 22%
Readers by discipline Count As %
Social Sciences 4 13%
Economics, Econometrics and Finance 4 13%
Computer Science 3 9%
Psychology 3 9%
Arts and Humanities 2 6%
Other 5 16%
Unknown 11 34%
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 11 March 2020.
All research outputs
#20,609,577
of 23,198,445 outputs
Outputs from Frontiers in Physics
#1,648
of 3,644 outputs
Outputs of similar age
#309,588
of 363,853 outputs
Outputs of similar age from Frontiers in Physics
#67
of 117 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,644 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 363,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.