↓ Skip to main content

Estimation of soil organic carbon in LUCAS soil database using Vis-NIR spectroscopy based on hybrid kernel Gaussian process regression

Overview of attention for article published in Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, June 2024
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 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
Estimation of soil organic carbon in LUCAS soil database using Vis-NIR spectroscopy based on hybrid kernel Gaussian process regression
Published in
Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, June 2024
DOI 10.1016/j.saa.2024.124687
Pubmed ID
Authors

Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 2. 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 June 2024.
All research outputs
#16,111,078
of 26,248,133 outputs
Outputs from Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy
#1,275
of 2,864 outputs
Outputs of similar age
#78,097
of 199,114 outputs
Outputs of similar age from Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy
#2
of 15 outputs
Altmetric has tracked 26,248,133 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,864 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 54% 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 199,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.