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Flocking and Turning: a New Model for Self-organized Collective Motion

Overview of attention for article published in Journal of Statistical Physics, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 1,841)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users
patent
1 patent

Readers on

mendeley
167 Mendeley
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Title
Flocking and Turning: a New Model for Self-organized Collective Motion
Published in
Journal of Statistical Physics, September 2014
DOI 10.1007/s10955-014-1119-3
Authors

Andrea Cavagna, Lorenzo Del Castello, Irene Giardina, Tomas Grigera, Asja Jelic, Stefania Melillo, Thierry Mora, Leonardo Parisi, Edmondo Silvestri, Massimiliano Viale, Aleksandra M. Walczak

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
Vietnam 1 <1%
Brazil 1 <1%
Austria 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 159 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 28%
Researcher 27 16%
Student > Master 23 14%
Professor 16 10%
Professor > Associate Professor 11 7%
Other 25 15%
Unknown 18 11%
Readers by discipline Count As %
Physics and Astronomy 87 52%
Computer Science 13 8%
Engineering 12 7%
Agricultural and Biological Sciences 8 5%
Mathematics 7 4%
Other 17 10%
Unknown 23 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 September 2022.
All research outputs
#2,056,745
of 24,393,999 outputs
Outputs from Journal of Statistical Physics
#28
of 1,841 outputs
Outputs of similar age
#22,793
of 257,442 outputs
Outputs of similar age from Journal of Statistical Physics
#2
of 36 outputs
Altmetric has tracked 24,393,999 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,841 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 98% 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 257,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.