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Outbreak minimization v.s. influence maximization: an optimization framework

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2020
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1 X user

Citations

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14 Dimensions

Readers on

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48 Mendeley
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Title
Outbreak minimization v.s. influence maximization: an optimization framework
Published in
BMC Medical Informatics and Decision Making, October 2020
DOI 10.1186/s12911-020-01281-0
Pubmed ID
Authors

Chun-Hung Cheng, Yong-Hong Kuo, Ziye Zhou

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Other 6 13%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Lecturer 3 6%
Other 10 21%
Unknown 13 27%
Readers by discipline Count As %
Medicine and Dentistry 5 10%
Social Sciences 4 8%
Computer Science 3 6%
Agricultural and Biological Sciences 3 6%
Psychology 3 6%
Other 15 31%
Unknown 15 31%
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 01 August 2022.
All research outputs
#19,477,321
of 23,953,397 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,622
of 2,052 outputs
Outputs of similar age
#316,255
of 419,670 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#38
of 45 outputs
Altmetric has tracked 23,953,397 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 9th percentile – i.e., 9% 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 419,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.