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Dove Medical Press

An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China

Overview of attention for article published in Infection and Drug Resistance, March 2020
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About this Attention Score

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

Mentioned by

twitter
1 X user

Citations

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21 Dimensions

Readers on

mendeley
28 Mendeley
Title
An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China
Published in
Infection and Drug Resistance, March 2020
DOI 10.2147/idr.s232854
Pubmed ID
Authors

Yongbin Wang, Chunjie Xu, Yuchun Li, Weidong Wu, Lihui Gui, Jingchao Ren, Sanqiao Yao

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 18%
Student > Postgraduate 3 11%
Researcher 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 1 4%
Other 3 11%
Unknown 11 39%
Readers by discipline Count As %
Engineering 4 14%
Computer Science 4 14%
Nursing and Health Professions 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Other 3 11%
Unknown 11 39%
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 24 March 2020.
All research outputs
#18,717,206
of 23,199,478 outputs
Outputs from Infection and Drug Resistance
#1,071
of 1,718 outputs
Outputs of similar age
#267,907
of 359,471 outputs
Outputs of similar age from Infection and Drug Resistance
#30
of 57 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,718 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 23rd percentile – i.e., 23% 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 359,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.