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Modeling water purification by an aquaporin-inspired graphene-based nano-channel

Overview of attention for article published in Journal of Molecular Modeling, August 2019
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Mentioned by

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1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
17 Mendeley
Title
Modeling water purification by an aquaporin-inspired graphene-based nano-channel
Published in
Journal of Molecular Modeling, August 2019
DOI 10.1007/s00894-019-4160-y
Pubmed ID
Authors

A. Lohrasebi, T. Koslowski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Bachelor 3 18%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 4 24%
Unknown 3 18%
Readers by discipline Count As %
Engineering 3 18%
Computer Science 2 12%
Chemistry 2 12%
Physics and Astronomy 1 6%
Environmental Science 1 6%
Other 2 12%
Unknown 6 35%
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 09 September 2019.
All research outputs
#20,580,438
of 23,163,378 outputs
Outputs from Journal of Molecular Modeling
#642
of 827 outputs
Outputs of similar age
#289,305
of 340,607 outputs
Outputs of similar age from Journal of Molecular Modeling
#13
of 19 outputs
Altmetric has tracked 23,163,378 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 827 research outputs from this source. They receive a mean Attention Score of 2.7. 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 340,607 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.