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Self-Organizing Systems

Overview of attention for book
Attention for Chapter 3: Triadic motifs and dyadic self-organization in the World Trade Network
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2 X users

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26 Mendeley
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Chapter title
Triadic motifs and dyadic self-organization in the World Trade Network
Chapter number 3
Book title
Self-Organizing Systems
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-28583-7_3
Book ISBNs
978-3-64-228582-0, 978-3-64-228583-7
Authors

Tiziano Squartini, Diego Garlaschelli, Squartini, Tiziano, Garlaschelli, Diego

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

Geographical breakdown

Country Count As %
Italy 2 8%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Student > Master 5 19%
Student > Ph. D. Student 5 19%
Lecturer > Senior Lecturer 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Physics and Astronomy 6 23%
Economics, Econometrics and Finance 3 12%
Mathematics 2 8%
Agricultural and Biological Sciences 2 8%
Business, Management and Accounting 2 8%
Other 7 27%
Unknown 4 15%
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 06 January 2012.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#5,946
of 8,143 outputs
Outputs of similar age
#194,958
of 247,799 outputs
Outputs of similar age from Lecture notes in computer science
#384
of 489 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 25th percentile – i.e., 25% 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 247,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.