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Optimizing Reactions in Reactive Extrusion by a Bayesian Approach: the Case of Thermal Amidation

Overview of attention for article published in ChemRxiv, March 2025
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Article details
Title
Optimizing Reactions in Reactive Extrusion by a Bayesian Approach: the Case of Thermal Amidation
Published in
ChemRxiv, March 2025
DOI 10.26434/chemrxiv-2025-zgpnz
Authors

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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 24 June 2025.
All research outputs
#24,019,992
of 34,297,879 outputs
Outputs from ChemRxiv
#4,808
of 8,968 outputs
Outputs of similar age
#187,960
of 362,578 outputs
Outputs of similar age from ChemRxiv
#28
of 170 outputs
Altmetric has tracked 34,297,879 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,968 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 41st percentile – i.e., 41% 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 362,578 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.