↓ Skip to main content

A bayesian deep learning-based approach to group contribution methods: A study on cannabinoids and terpenes

Overview of attention for article published in Fluid Phase Equilibria, August 2024
Altmetric Badge

Mentioned by

twitter
1 X user
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 bayesian deep learning-based approach to group contribution methods: A study on cannabinoids and terpenes
Published in
Fluid Phase Equilibria, August 2024
DOI 10.1016/j.fluid.2024.114116
Authors

Tatiana Lamprea, Gustavo A. Orozco, Héctor J. Hortúa

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.
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 05 May 2024.
All research outputs
#23,231,354
of 25,891,484 outputs
Outputs from Fluid Phase Equilibria
#662
of 724 outputs
Outputs of similar age
#3,002
of 3,701 outputs
Outputs of similar age from Fluid Phase Equilibria
#1
of 1 outputs
Altmetric has tracked 25,891,484 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 724 research outputs from this source. They receive a mean Attention Score of 3.1. 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 3,701 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them