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Information cascade final size distributions derived from urn models

Overview of attention for article published in Applied Network Science, June 2023
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1 X user

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2 Mendeley
Title
Information cascade final size distributions derived from urn models
Published in
Applied Network Science, June 2023
DOI 10.1007/s41109-023-00554-7
Authors

Kazumasa Oida

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unspecified 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Mathematics 1 50%
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 27 June 2023.
All research outputs
#21,459,701
of 23,954,951 outputs
Outputs from Applied Network Science
#510
of 526 outputs
Outputs of similar age
#209,639
of 252,453 outputs
Outputs of similar age from Applied Network Science
#10
of 11 outputs
Altmetric has tracked 23,954,951 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 1st percentile – i.e., 1% 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 252,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.