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Soft‐core potentials in thermodynamic integration: Comparing one‐ and two‐step transformations

Overview of attention for article published in Journal of Computational Chemistry, August 2011
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
203 Mendeley
citeulike
5 CiteULike
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Article details
Title
Soft‐core potentials in thermodynamic integration: Comparing one‐ and two‐step transformations
Published in
Journal of Computational Chemistry, August 2011
DOI 10.1002/jcc.21909
Pubmed ID
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 4 2%
Germany 3 1%
United States 1 <1%
Portugal 1 <1%
India 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 191 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 44 22%
Researcher 44 22%
Student > Bachelor 16 8%
Student > Master 16 8%
Other 9 4%
Other 26 13%
Unknown 48 24%
Readers by discipline
Readers by discipline Count As %
Chemistry 77 38%
Agricultural and Biological Sciences 14 7%
Biochemistry, Genetics and Molecular Biology 13 6%
Physics and Astronomy 12 6%
Engineering 11 5%
Other 24 12%
Unknown 52 26%
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 22 August 2023.
All research outputs
#8,220,458
of 24,629,540 outputs
Outputs from Journal of Computational Chemistry
#699
of 2,156 outputs
Outputs of similar age
#45,086
of 127,498 outputs
Outputs of similar age from Journal of Computational Chemistry
#3
of 22 outputs
Altmetric has tracked 24,629,540 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,156 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 53% 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 127,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.