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The Competition of Roughness and Curvature in Area-Constrained Polymer Models

Overview of attention for article published in Communications in Mathematical Physics, October 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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Citations

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2 Mendeley
Title
The Competition of Roughness and Curvature in Area-Constrained Polymer Models
Published in
Communications in Mathematical Physics, October 2018
DOI 10.1007/s00220-018-3282-x
Authors

Riddhipratim Basu, Shirshendu Ganguly, Alan Hammond

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Mathematics 2 100%
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 25 April 2017.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Communications in Mathematical Physics
#1,278
of 2,523 outputs
Outputs of similar age
#218,602
of 349,185 outputs
Outputs of similar age from Communications in Mathematical Physics
#13
of 35 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,523 research outputs from this source. They receive a mean Attention Score of 2.8. 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 349,185 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.