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Diffusion, Crowding

Overview of attention for article published in PLoS Computational Biology, March 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
624 Dimensions

Readers on

mendeley
830 Mendeley
citeulike
29 CiteULike
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Title
Diffusion, Crowding & Protein Stability in a Dynamic Molecular Model of the Bacterial Cytoplasm
Published in
PLoS Computational Biology, March 2010
DOI 10.1371/journal.pcbi.1000694
Pubmed ID
Authors

Sean R. McGuffee, Adrian H. Elcock

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 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 830 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 29 3%
United Kingdom 13 2%
Germany 11 1%
Japan 6 <1%
Norway 3 <1%
Italy 3 <1%
Australia 3 <1%
Netherlands 2 <1%
Brazil 2 <1%
Other 16 2%
Unknown 742 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 221 27%
Researcher 201 24%
Student > Master 77 9%
Professor 59 7%
Student > Bachelor 51 6%
Other 144 17%
Unknown 77 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 258 31%
Biochemistry, Genetics and Molecular Biology 142 17%
Chemistry 103 12%
Physics and Astronomy 88 11%
Engineering 46 6%
Other 92 11%
Unknown 101 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 05 January 2024.
All research outputs
#562,586
of 25,713,737 outputs
Outputs from PLoS Computational Biology
#409
of 9,024 outputs
Outputs of similar age
#1,524
of 103,137 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 52 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 95% of its peers.
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 103,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.