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Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China

Overview of attention for article published in BMC Infectious Diseases, February 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China
Published in
BMC Infectious Diseases, February 2023
DOI 10.1186/s12879-023-08025-1
Pubmed ID
Authors

Zhiyang Zhao, Mengmeng Zhai, Guohua Li, Xuefen Gao, Wenzhu Song, Xuchun Wang, Hao Ren, Yu Cui, Yuchao Qiao, Jiahui Ren, Limin Chen, Lixia Qiu

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 12%
Professor 1 6%
Lecturer 1 6%
Student > Ph. D. Student 1 6%
Unknown 12 71%
Readers by discipline Count As %
Engineering 2 12%
Computer Science 1 6%
Unspecified 1 6%
Unknown 13 76%
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 15 February 2023.
All research outputs
#15,726,141
of 23,367,368 outputs
Outputs from BMC Infectious Diseases
#4,591
of 7,816 outputs
Outputs of similar age
#195,708
of 375,956 outputs
Outputs of similar age from BMC Infectious Diseases
#62
of 121 outputs
Altmetric has tracked 23,367,368 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,816 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 33rd percentile – i.e., 33% 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 375,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.