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Analytical model for macromolecular partitioning during yeast cell division

Overview of attention for article published in BMC Biophysics, September 2014
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2 X users

Citations

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8 Dimensions

Readers on

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27 Mendeley
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Title
Analytical model for macromolecular partitioning during yeast cell division
Published in
BMC Biophysics, September 2014
DOI 10.1186/s13628-014-0010-6
Pubmed ID
Authors

Ali Kinkhabwala, Anton Khmelinskii, Michael Knop

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 6 22%
Student > Bachelor 2 7%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 4 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 41%
Agricultural and Biological Sciences 10 37%
Linguistics 1 4%
Immunology and Microbiology 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 3 11%
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 04 May 2015.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Biophysics
#43
of 57 outputs
Outputs of similar age
#172,914
of 254,440 outputs
Outputs of similar age from BMC Biophysics
#3
of 3 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 28th percentile – i.e., 28% 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 254,440 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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.