↓ Skip to main content

Is line-source modeling suitable for ultraviolet light application in an air cleaner duct?

Overview of attention for article published in Frontiers in Built Environment, March 2024
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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
Is line-source modeling suitable for ultraviolet light application in an air cleaner duct?
Published in
Frontiers in Built Environment, March 2024
DOI 10.3389/fbuil.2024.1325267
Authors

Peiyang Li, Jacek A. Koziel, Bauyrzhan Yedilbayev, Reid Vincent Paris, William B. Walz, Brett C. Ramirez

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 01 March 2024.
All research outputs
#17,299,425
of 25,394,081 outputs
Outputs from Frontiers in Built Environment
#393
of 1,315 outputs
Outputs of similar age
#78,034
of 154,029 outputs
Outputs of similar age from Frontiers in Built Environment
#6
of 33 outputs
Altmetric has tracked 25,394,081 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,315 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 154,029 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 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.