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A network epidemic model for online community commissioning data

Overview of attention for article published in Statistics and Computing, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
Title
A network epidemic model for online community commissioning data
Published in
Statistics and Computing, August 2017
DOI 10.1007/s11222-017-9770-6
Pubmed ID
Authors

Clement Lee, Andrew Garbett, Darren J. Wilkinson

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 3 21%
Professor 2 14%
Other 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 4 29%
Mathematics 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Economics, Econometrics and Finance 1 7%
Other 2 14%
Unknown 2 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 February 2017.
All research outputs
#7,600,406
of 23,314,015 outputs
Outputs from Statistics and Computing
#148
of 524 outputs
Outputs of similar age
#120,172
of 318,357 outputs
Outputs of similar age from Statistics and Computing
#5
of 5 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 524 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 71% 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 318,357 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.