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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.