↓ Skip to main content

Escherichia coli Peptidoglycan Structure and Mechanics as Predicted by Atomic-Scale Simulations

Overview of attention for article published in PLoS Computational Biology, February 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
222 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Escherichia coli Peptidoglycan Structure and Mechanics as Predicted by Atomic-Scale Simulations
Published in
PLoS Computational Biology, February 2014
DOI 10.1371/journal.pcbi.1003475
Pubmed ID
Authors

James C. Gumbart, Morgan Beeby, Grant J. Jensen, Benoît Roux

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
India 1 <1%
Chile 1 <1%
New Zealand 1 <1%
South Africa 1 <1%
Unknown 214 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 27%
Researcher 31 14%
Student > Bachelor 23 10%
Student > Master 22 10%
Student > Postgraduate 9 4%
Other 24 11%
Unknown 53 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 18%
Agricultural and Biological Sciences 38 17%
Chemistry 17 8%
Engineering 17 8%
Physics and Astronomy 12 5%
Other 32 14%
Unknown 65 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 April 2023.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#5,702
of 9,035 outputs
Outputs of similar age
#82,785
of 241,813 outputs
Outputs of similar age from PLoS Computational Biology
#70
of 128 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,035 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 33rd percentile – i.e., 33% 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 241,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.