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Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models

Overview of attention for article published in BMC Medical Research Methodology, October 2022
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1 X user

Citations

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3 Dimensions

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18 Mendeley
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Title
Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models
Published in
BMC Medical Research Methodology, October 2022
DOI 10.1186/s12874-022-01719-1
Pubmed ID
Authors

Weize Xu, Zehua Shao, Hongliang Lou, Jianchuan Qi, Jihua Zhu, Die Li, Qiang Shu

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 17%
Researcher 1 6%
Student > Master 1 6%
Unknown 13 72%
Readers by discipline Count As %
Mathematics 1 6%
Nursing and Health Professions 1 6%
Computer Science 1 6%
Engineering 1 6%
Unknown 14 78%
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 02 October 2022.
All research outputs
#18,931,665
of 23,460,553 outputs
Outputs from BMC Medical Research Methodology
#1,788
of 2,075 outputs
Outputs of similar age
#307,215
of 441,760 outputs
Outputs of similar age from BMC Medical Research Methodology
#35
of 45 outputs
Altmetric has tracked 23,460,553 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 2,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 6th percentile – i.e., 6% 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 441,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.