↓ Skip to main content

A novel combined nomogram for predicting severe acute lower respiratory tract infection in children hospitalized for RSV infection during the post-COVID-19 period

Overview of attention for article published in Frontiers in immunology, July 2024
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
2 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A novel combined nomogram for predicting severe acute lower respiratory tract infection in children hospitalized for RSV infection during the post-COVID-19 period
Published in
Frontiers in immunology, July 2024
DOI 10.3389/fimmu.2024.1437834
Pubmed ID
Authors

Hai-Feng Liu, Xue-Zu Zhang, Cong-Yun Liu, Wang Li, Wen-Hong Li, Ya-Yu Wang, He-Yun Li, Mei Xiang, Rui Lu, Ting-Yun Yuan, Hong-Min Fu

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 25 July 2024.
All research outputs
#21,649,741
of 26,580,681 outputs
Outputs from Frontiers in immunology
#26,019
of 33,405 outputs
Outputs of similar age
#173,945
of 268,292 outputs
Outputs of similar age from Frontiers in immunology
#326
of 659 outputs
Altmetric has tracked 26,580,681 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,405 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 13th percentile – i.e., 13% 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 268,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 659 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.