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Long range Debye-Hückel correction for computation of grid-based electrostatic forces between biomacromolecules

Overview of attention for article published in BMC Biophysics, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
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Title
Long range Debye-Hückel correction for computation of grid-based electrostatic forces between biomacromolecules
Published in
BMC Biophysics, June 2014
DOI 10.1186/2046-1682-7-4
Pubmed ID
Authors

Paolo Mereghetti, Michael Martinez, Rebecca C Wade

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
China 1 3%
Italy 1 3%
Germany 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Ph. D. Student 7 23%
Student > Master 5 17%
Student > Bachelor 3 10%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Chemistry 5 17%
Agricultural and Biological Sciences 4 13%
Physics and Astronomy 4 13%
Computer Science 3 10%
Other 5 17%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 March 2021.
All research outputs
#5,839,328
of 23,128,387 outputs
Outputs from BMC Biophysics
#17
of 69 outputs
Outputs of similar age
#54,310
of 228,989 outputs
Outputs of similar age from BMC Biophysics
#1
of 2 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 69 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 72% 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 228,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them