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A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden…

Overview of attention for article published in BMC Public Health, October 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden of diseases 2000–2019
Published in
BMC Public Health, October 2022
DOI 10.1186/s12889-022-14321-3
Pubmed ID
Authors

Ying Chen, Jiawen He, Meihua Wang

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 9 75%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 8%
Arts and Humanities 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Unknown 8 67%
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 20 October 2022.
All research outputs
#20,931,913
of 23,563,389 outputs
Outputs from BMC Public Health
#14,278
of 15,282 outputs
Outputs of similar age
#355,652
of 445,440 outputs
Outputs of similar age from BMC Public Health
#371
of 416 outputs
Altmetric has tracked 23,563,389 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 15,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. 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 445,440 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 416 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.