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Water model determines thermosensitive and physicochemical properties of poly(N-isopropylacrylamide) in molecular simulations

Overview of attention for article published in Frontiers in Materials, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Citations

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Title
Water model determines thermosensitive and physicochemical properties of poly(N-isopropylacrylamide) in molecular simulations
Published in
Frontiers in Materials, January 2023
DOI 10.3389/fmats.2023.1005781
Authors

Patrick K. Quoika, Anna S. Kamenik, Monica L. Fernández-Quintero, Martin Zacharias, Klaus R. Liedl

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 40%
Student > Ph. D. Student 2 20%
Researcher 1 10%
Unknown 3 30%
Readers by discipline Count As %
Unspecified 4 40%
Chemistry 1 10%
Engineering 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2023.
All research outputs
#7,251,058
of 24,132,754 outputs
Outputs from Frontiers in Materials
#110
of 2,773 outputs
Outputs of similar age
#128,669
of 437,517 outputs
Outputs of similar age from Frontiers in Materials
#1
of 185 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,773 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 96% 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 437,517 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 70% of its contemporaries.
We're also able to compare this research output to 185 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 99% of its contemporaries.