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Inferring network properties based on the epidemic prevalence

Overview of attention for article published in Applied Network Science, October 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
4 X users

Citations

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6 Dimensions

Readers on

mendeley
13 Mendeley
Title
Inferring network properties based on the epidemic prevalence
Published in
Applied Network Science, October 2019
DOI 10.1007/s41109-019-0218-0
Authors

Long Ma, Qiang Liu, Piet Van Mieghem

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 23%
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Professor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Mathematics 3 23%
Physics and Astronomy 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2022.
All research outputs
#13,506,355
of 23,025,074 outputs
Outputs from Applied Network Science
#269
of 505 outputs
Outputs of similar age
#179,632
of 362,299 outputs
Outputs of similar age from Applied Network Science
#13
of 39 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 44th percentile – i.e., 44% 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 362,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.