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Modeling and maximizing influence diffusion in social networks for viral marketing

Overview of attention for article published in Applied Network Science, April 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
93 Mendeley
Title
Modeling and maximizing influence diffusion in social networks for viral marketing
Published in
Applied Network Science, April 2018
DOI 10.1007/s41109-018-0062-7
Pubmed ID
Authors

Wenjun Wang, W. Nick Street

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

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Ph. D. Student 12 13%
Student > Bachelor 7 8%
Lecturer 5 5%
Lecturer > Senior Lecturer 4 4%
Other 11 12%
Unknown 41 44%
Readers by discipline Count As %
Computer Science 16 17%
Business, Management and Accounting 14 15%
Social Sciences 7 8%
Engineering 3 3%
Arts and Humanities 3 3%
Other 10 11%
Unknown 40 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 April 2018.
All research outputs
#6,284,804
of 23,041,514 outputs
Outputs from Applied Network Science
#174
of 505 outputs
Outputs of similar age
#110,598
of 329,244 outputs
Outputs of similar age from Applied Network Science
#1
of 5 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 65% 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 329,244 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 66% 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. This one has scored higher than all of them