↓ Skip to main content

Corrigendum: Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling

Overview of attention for article published in Frontiers in Chemical Engineering, January 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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
Corrigendum: Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling
Published in
Frontiers in Chemical Engineering, January 2022
DOI 10.3389/fceng.2021.833247
Authors

Filippo Marchione, Konrad Hungerbuehler, Stavros Papadokonstantakis

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 08 June 2022.
All research outputs
#17,727,727
of 25,984,008 outputs
Outputs from Frontiers in Chemical Engineering
#108
of 331 outputs
Outputs of similar age
#315,435
of 527,202 outputs
Outputs of similar age from Frontiers in Chemical Engineering
#13
of 40 outputs
Altmetric has tracked 25,984,008 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 60% 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 527,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 65% of its contemporaries.