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Spatial transmission network construction of influenza-like illness using dynamic Bayesian network and vector-autoregressive moving average model

Overview of attention for article published in BMC Infectious Diseases, February 2021
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Spatial transmission network construction of influenza-like illness using dynamic Bayesian network and vector-autoregressive moving average model
Published in
BMC Infectious Diseases, February 2021
DOI 10.1186/s12879-021-05769-6
Pubmed ID
Authors

Jianqing Qiu, Huimin Wang, Lin Hu, Changhong Yang, Tao Zhang

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 10%
Other 1 5%
Student > Bachelor 1 5%
Lecturer 1 5%
Professor 1 5%
Other 1 5%
Unknown 14 67%
Readers by discipline Count As %
Environmental Science 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Mathematics 1 5%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 13 62%
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 11 February 2021.
All research outputs
#20,685,434
of 23,281,392 outputs
Outputs from BMC Infectious Diseases
#6,580
of 7,791 outputs
Outputs of similar age
#440,058
of 513,567 outputs
Outputs of similar age from BMC Infectious Diseases
#155
of 190 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 513,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.