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Regularization methods for finding the relaxation time spectra of linear polydisperse polymer melts

Overview of attention for article published in Rheologica Acta, March 2018
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1 X user

Citations

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3 Dimensions

Readers on

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8 Mendeley
Title
Regularization methods for finding the relaxation time spectra of linear polydisperse polymer melts
Published in
Rheologica Acta, March 2018
DOI 10.1007/s00397-018-1078-8
Authors

C. Lang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Professor 1 13%
Student > Master 1 13%
Lecturer 1 13%
Other 0 0%
Readers by discipline Count As %
Engineering 4 50%
Neuroscience 2 25%
Unknown 2 25%
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 20 February 2018.
All research outputs
#20,465,050
of 23,023,224 outputs
Outputs from Rheologica Acta
#338
of 353 outputs
Outputs of similar age
#293,398
of 331,971 outputs
Outputs of similar age from Rheologica Acta
#3
of 3 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 331,971 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.