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.
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.
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.
X Demographics
Attention Score in Context
Title |
Bayesian denoising algorithm dealing with colored, non-stationary noise in continuous glucose monitoring timeseries
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, November 2023
|
DOI | 10.3389/fbioe.2023.1280233 |
Pubmed ID | |
Authors |
Nunzio Camerlingo, Ilaria Siviero, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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 22 November 2023.
All research outputs
#22,269,757
of 24,853,509 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,271
of 8,103 outputs
Outputs of similar age
#126,653
of 161,822 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#70
of 168 outputs
Altmetric has tracked 24,853,509 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 8,103 research outputs from this source. They receive a mean Attention Score of 3.5. 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 161,822 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 168 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.