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Attention Score in Context
Title |
Dynamical strength of social ties in information spreading
|
---|---|
Published in |
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, April 2011
|
DOI | 10.1103/physreve.83.045102 |
Pubmed ID | |
Authors |
Giovanna Miritello, Esteban Moro, Rubén Lara |
Abstract |
We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is bursty and happens in group conversations. These features have the opposite effects on the reach of the information: while bursts hinder propagation at large scales, conversations favor local rapid cascades. To explain these phenomena we define the dynamical strength of social ties, a quantity that encompasses both the topological and the temporal patterns of human communication. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 1% |
Switzerland | 3 | 1% |
United States | 3 | 1% |
Spain | 3 | 1% |
Italy | 2 | <1% |
Japan | 2 | <1% |
France | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Mexico | 1 | <1% |
Other | 6 | 3% |
Unknown | 184 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 69 | 33% |
Researcher | 38 | 18% |
Student > Master | 34 | 16% |
Student > Doctoral Student | 10 | 5% |
Professor > Associate Professor | 9 | 4% |
Other | 28 | 13% |
Unknown | 21 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 50 | 24% |
Computer Science | 50 | 24% |
Mathematics | 23 | 11% |
Social Sciences | 17 | 8% |
Engineering | 16 | 8% |
Other | 24 | 11% |
Unknown | 29 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 15 January 2021.
All research outputs
#2,299,291
of 25,394,764 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#506
of 20,993 outputs
Outputs of similar age
#9,969
of 120,962 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#3
of 61 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,993 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 97% 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 120,962 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 61 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 95% of its contemporaries.