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Network target for screening synergistic drug combinations with application to traditional Chinese medicine.

Overview of attention for article published in BMC Systems Biology, June 2011
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
272 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
2 CiteULike
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Title
Network target for screening synergistic drug combinations with application to traditional Chinese medicine.
Published in
BMC Systems Biology, June 2011
DOI 10.1186/1752-0509-5-s1-s10
Pubmed ID
Authors

Shao Li, Bo Zhang, Ningbo Zhang

Abstract

Multicomponent therapeutics offer bright prospects for the control of complex diseases in a synergistic manner. However, finding ways to screen the synergistic combinations from numerous pharmacological agents is still an ongoing challenge.

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Hungary 1 <1%
Germany 1 <1%
India 1 <1%
Brazil 1 <1%
Nigeria 1 <1%
United Kingdom 1 <1%
Unknown 182 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 25%
Researcher 38 20%
Student > Master 19 10%
Student > Bachelor 15 8%
Student > Doctoral Student 14 7%
Other 32 16%
Unknown 28 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 28%
Computer Science 24 12%
Biochemistry, Genetics and Molecular Biology 19 10%
Medicine and Dentistry 19 10%
Pharmacology, Toxicology and Pharmaceutical Science 14 7%
Other 29 15%
Unknown 35 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 July 2011.
All research outputs
#15,233,109
of 22,649,029 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#83,310
of 114,398 outputs
Outputs of similar age from BMC Systems Biology
#15
of 30 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 114,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.