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Advances in the textile industry through surface-initiated reversible deactivation radical polymerization: Exploring the latest advances, opportunities, and future directions in precise tailoring…

Overview of attention for article published in Computational and Theoretical Polymer Science, June 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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16 X users

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Title
Advances in the textile industry through surface-initiated reversible deactivation radical polymerization: Exploring the latest advances, opportunities, and future directions in precise tailoring textile properties by well-defined polymers
Published in
Computational and Theoretical Polymer Science, June 2024
DOI 10.1016/j.polymer.2024.127206
Authors

Katarzyna Kisiel, Izabela Zaborniak, Paweł Chmielarz

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X Demographics

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 June 2024.
All research outputs
#2,961,639
of 26,147,626 outputs
Outputs from Computational and Theoretical Polymer Science
#65
of 6,354 outputs
Outputs of similar age
#22,379
of 199,747 outputs
Outputs of similar age from Computational and Theoretical Polymer Science
#1
of 5 outputs
Altmetric has tracked 26,147,626 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,354 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 98% 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 199,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them