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Machine learning-supported solvent design for lignin-first biorefineries and lignin upgrading

Overview of attention for article published in Chemical Engineering Journal, September 2024
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Machine learning-supported solvent design for lignin-first biorefineries and lignin upgrading
Published in
Chemical Engineering Journal, September 2024
DOI 10.1016/j.cej.2024.153524
Authors

Laura König-Mattern, Edgar I. Sanchez Medina, Anastasia O. Komarova, Steffen Linke, Liisa Rihko-Struckmann, Jeremy S. Luterbacher, Kai Sundmacher

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 July 2024.
All research outputs
#6,713,134
of 26,248,133 outputs
Outputs from Chemical Engineering Journal
#1,189
of 6,943 outputs
Outputs of similar age
#1,761
of 6,854 outputs
Outputs of similar age from Chemical Engineering Journal
#5
of 102 outputs
Altmetric has tracked 26,248,133 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,943 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 82% 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 6,854 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 73% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.