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Reducing the bias and uncertainty of free energy estimates by using regression to fit thermodynamic integration data

Overview of attention for article published in Journal of Computational Chemistry, August 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
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Article details
Title
Reducing the bias and uncertainty of free energy estimates by using regression to fit thermodynamic integration data
Published in
Journal of Computational Chemistry, August 2009
DOI 10.1002/jcc.21231
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 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 States 2 6%
Turkey 1 3%
Thailand 1 3%
United Kingdom 1 3%
Germany 1 3%
Canada 1 3%
Unknown 27 79%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 7 21%
Professor > Associate Professor 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 18%
Chemistry 6 18%
Physics and Astronomy 3 9%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 6 18%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 March 2020.
All research outputs
#7,738,413
of 28,812,439 outputs
Outputs from Journal of Computational Chemistry
#496
of 2,348 outputs
Outputs of similar age
#36,854
of 118,315 outputs
Outputs of similar age from Journal of Computational Chemistry
#2
of 4 outputs
Altmetric has tracked 28,812,439 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,348 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 74% 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 118,315 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.