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Incorporating dynamic flight network in SEIR to model mobility between populations

Overview of attention for article published in Applied Network Science, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
23 Mendeley
Title
Incorporating dynamic flight network in SEIR to model mobility between populations
Published in
Applied Network Science, June 2021
DOI 10.1007/s41109-021-00378-3
Pubmed ID
Authors

Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 3 13%
Unknown 10 43%
Readers by discipline Count As %
Computer Science 3 13%
Agricultural and Biological Sciences 2 9%
Engineering 2 9%
Medicine and Dentistry 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 14 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 December 2023.
All research outputs
#4,186,269
of 25,457,297 outputs
Outputs from Applied Network Science
#116
of 582 outputs
Outputs of similar age
#95,308
of 458,384 outputs
Outputs of similar age from Applied Network Science
#4
of 24 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 80% 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 458,384 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.