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Computational Modeling of Discrete Mechanical Systems and Complex Networks: Where We are and Where We are Going

Overview of attention for article published in Frontiers in Materials, March 2015
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
Computational Modeling of Discrete Mechanical Systems and Complex Networks: Where We are and Where We are Going
Published in
Frontiers in Materials, March 2015
DOI 10.3389/fmats.2015.00018
Authors

Andrea Infuso, Marco Paggi

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 80%
Researcher 1 20%
Readers by discipline Count As %
Engineering 3 60%
Materials Science 1 20%
Physics and Astronomy 1 20%
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 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Frontiers in Materials
#603
of 2,444 outputs
Outputs of similar age
#188,604
of 258,904 outputs
Outputs of similar age from Frontiers in Materials
#14
of 34 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 258,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.