↓ Skip to main content

Double-deconvolution method for the separation of thermalised emissions from chromium-doped lanthanum gallate and its potential in luminescence-based thermometry

Overview of attention for article published in Journal of Luminescence, June 2022
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 tweeter
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
Double-deconvolution method for the separation of thermalised emissions from chromium-doped lanthanum gallate and its potential in luminescence-based thermometry
Published in
Journal of Luminescence, June 2022
DOI 10.1016/j.jlumin.2022.118847
Authors

Abbi L. Mullins, Aleksandar Ćirić, Zoran Ristić, J.A. Gareth Williams, Ivana Radosavljević Evans, Miroslav D. Dramićanin

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 23 March 2022.
All research outputs
#14,364,835
of 21,392,919 outputs
Outputs from Journal of Luminescence
#855
of 1,135 outputs
Outputs of similar age
#192,732
of 337,889 outputs
Outputs of similar age from Journal of Luminescence
#3
of 9 outputs
Altmetric has tracked 21,392,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 17th percentile – i.e., 17% 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 337,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.