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Parallel implementation of a divide and conquer semiempirical algorithm

Overview of attention for article published in Theoretical Chemistry Accounts, July 1998
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Mentioned by

patent
1 patent

Citations

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14 Dimensions

Readers on

mendeley
15 Mendeley
Title
Parallel implementation of a divide and conquer semiempirical algorithm
Published in
Theoretical Chemistry Accounts, July 1998
DOI 10.1007/s002140050329
Authors

James J. Vincent, Steven L. Dixon, Kenneth M. Merz Jr.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 20%
Hungary 1 7%
Brazil 1 7%
Unknown 10 67%

Demographic breakdown

Readers by professional status Count As %
Professor 4 27%
Researcher 4 27%
Student > Ph. D. Student 3 20%
Student > Bachelor 1 7%
Other 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Chemistry 10 67%
Biochemistry, Genetics and Molecular Biology 1 7%
Physics and Astronomy 1 7%
Agricultural and Biological Sciences 1 7%
Unknown 2 13%
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 08 March 2011.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Theoretical Chemistry Accounts
#183
of 609 outputs
Outputs of similar age
#10,344
of 32,510 outputs
Outputs of similar age from Theoretical Chemistry Accounts
#1
of 1 outputs
Altmetric has tracked 25,374,917 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 609 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 47th percentile – i.e., 47% 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 32,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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