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DelPhi: a comprehensive suite for DelPhi software and associated resources

Overview of attention for article published in BMC Biophysics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
311 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
1 CiteULike
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Title
DelPhi: a comprehensive suite for DelPhi software and associated resources
Published in
BMC Biophysics, May 2012
DOI 10.1186/2046-1682-5-9
Pubmed ID
Authors

Lin Li, Chuan Li, Subhra Sarkar, Jie Zhang, Shawn Witham, Zhe Zhang, Lin Wang, Nicholas Smith, Marharyta Petukh, Emil Alexov

Abstract

Accurate modeling of electrostatic potential and corresponding energies becomes increasingly important for understanding properties of biological macromolecules and their complexes. However, this is not an easy task due to the irregular shape of biological entities and the presence of water and mobile ions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 26%
Researcher 29 20%
Student > Master 14 10%
Student > Doctoral Student 9 6%
Student > Bachelor 9 6%
Other 24 17%
Unknown 20 14%
Readers by discipline Count As %
Chemistry 34 24%
Biochemistry, Genetics and Molecular Biology 25 18%
Agricultural and Biological Sciences 25 18%
Computer Science 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 22 15%
Unknown 25 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 August 2021.
All research outputs
#3,117,705
of 25,755,403 outputs
Outputs from BMC Biophysics
#3
of 74 outputs
Outputs of similar age
#19,447
of 177,262 outputs
Outputs of similar age from BMC Biophysics
#2
of 5 outputs
Altmetric has tracked 25,755,403 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.5. 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 177,262 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 89% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.