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A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice

Overview of attention for article published in BMC Systems Biology, July 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice
Published in
BMC Systems Biology, July 2018
DOI 10.1186/s12918-018-0603-9
Pubmed ID
Authors

Guan-Sheng Liu, Richard Ballweg, Alan Ashbaugh, Yin Zhang, Joseph Facciolo, Melanie T. Cushion, Tongli Zhang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Master 1 17%
Other 1 17%
Student > Ph. D. Student 1 17%
Unspecified 1 17%
Other 0 0%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unspecified 1 17%
Chemistry 1 17%
Medicine and Dentistry 1 17%
Other 0 0%

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 25 July 2018.
All research outputs
#10,572,683
of 13,278,410 outputs
Outputs from BMC Systems Biology
#776
of 1,076 outputs
Outputs of similar age
#200,514
of 268,418 outputs
Outputs of similar age from BMC Systems Biology
#3
of 5 outputs
Altmetric has tracked 13,278,410 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,076 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 13th percentile – i.e., 13% 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 268,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.