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Computational Model of Membrane Fission Catalyzed by ESCRT-III

Overview of attention for article published in PLoS Computational Biology, November 2009
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Mentioned by

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1 YouTube creator

Citations

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144 Dimensions

Readers on

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112 Mendeley
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Title
Computational Model of Membrane Fission Catalyzed by ESCRT-III
Published in
PLoS Computational Biology, November 2009
DOI 10.1371/journal.pcbi.1000575
Pubmed ID
Authors

Gur Fabrikant, Suman Lata, James D. Riches, John A. G. Briggs, Winfried Weissenhorn, Michael M. Kozlov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 3%
United States 2 2%
Switzerland 1 <1%
Hungary 1 <1%
Japan 1 <1%
New Zealand 1 <1%
Unknown 103 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 21 19%
Student > Bachelor 17 15%
Student > Doctoral Student 7 6%
Student > Master 7 6%
Other 16 14%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 35%
Biochemistry, Genetics and Molecular Biology 32 29%
Physics and Astronomy 11 10%
Chemistry 6 5%
Neuroscience 4 4%
Other 6 5%
Unknown 14 13%
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 23 March 2014.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#8,653
of 9,043 outputs
Outputs of similar age
#174,629
of 181,371 outputs
Outputs of similar age from PLoS Computational Biology
#59
of 59 outputs
Altmetric has tracked 25,806,080 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 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 181,371 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 59 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.