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Search Algorithms as a Framework for the Optimization of Drug Combinations

Overview of attention for article published in PLoS Computational Biology, December 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
4 CiteULike
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Title
Search Algorithms as a Framework for the Optimization of Drug Combinations
Published in
PLoS Computational Biology, December 2008
DOI 10.1371/journal.pcbi.1000249
Pubmed ID
Authors

Diego Calzolari, Stefania Bruschi, Laurence Coquin, Jennifer Schofield, Jacob D. Feala, John C. Reed, Andrew D. McCulloch, Giovanni Paternostro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Sweden 2 1%
United Kingdom 2 1%
Spain 1 <1%
France 1 <1%
Unknown 131 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 25%
Student > Ph. D. Student 29 20%
Student > Master 18 13%
Professor 7 5%
Student > Bachelor 7 5%
Other 23 16%
Unknown 23 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 27%
Computer Science 22 15%
Medicine and Dentistry 16 11%
Biochemistry, Genetics and Molecular Biology 12 8%
Chemistry 9 6%
Other 23 16%
Unknown 23 16%
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 01 February 2019.
All research outputs
#6,601,876
of 25,385,509 outputs
Outputs from PLoS Computational Biology
#4,549
of 8,961 outputs
Outputs of similar age
#41,198
of 183,248 outputs
Outputs of similar age from PLoS Computational Biology
#12
of 31 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% 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 183,248 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 77% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.