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Quantitative Systems Pharmacology Model-Based Predictions of Clinical Endpoints to Optimize Warfarin and Rivaroxaban Anti-Thrombosis Therapy

Overview of attention for article published in Frontiers in Pharmacology, July 2020
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users

Citations

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13 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Quantitative Systems Pharmacology Model-Based Predictions of Clinical Endpoints to Optimize Warfarin and Rivaroxaban Anti-Thrombosis Therapy
Published in
Frontiers in Pharmacology, July 2020
DOI 10.3389/fphar.2020.01041
Pubmed ID
Authors

Sonja Hartmann, Konstantinos Biliouris, Lawrence J. Lesko, Ulrike Nowak-Göttl, Mirjam N. Trame

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Unspecified 4 15%
Student > Ph. D. Student 2 8%
Student > Bachelor 2 8%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 11 42%
Readers by discipline Count As %
Unspecified 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 4 15%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 2 8%
Linguistics 1 4%
Other 2 8%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2020.
All research outputs
#14,209,103
of 23,230,825 outputs
Outputs from Frontiers in Pharmacology
#4,466
of 16,658 outputs
Outputs of similar age
#213,562
of 396,836 outputs
Outputs of similar age from Frontiers in Pharmacology
#124
of 426 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,658 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 71% 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 396,836 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 426 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 68% of its contemporaries.