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Measurements of Deposition, Lung Surface Area and Lung Fluid for Simulation of Inhaled Compounds

Overview of attention for article published in Frontiers in Pharmacology, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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3 news outlets
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4 X users

Citations

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155 Dimensions

Readers on

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239 Mendeley
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Title
Measurements of Deposition, Lung Surface Area and Lung Fluid for Simulation of Inhaled Compounds
Published in
Frontiers in Pharmacology, June 2016
DOI 10.3389/fphar.2016.00181
Pubmed ID
Authors

Eleonore Fröhlich, Annalisa Mercuri, Shengqian Wu, Sharareh Salar-Behzadi

Abstract

Modern strategies in drug development employ in silico techniques in the design of compounds as well as estimations of pharmacokinetics, pharmacodynamics and toxicity parameters. The quality of the results depends on software algorithm, data library and input data. Compared to simulations of absorption, distribution, metabolism, excretion, and toxicity of oral drug compounds, relatively few studies report predictions of pharmacokinetics and pharmacodynamics of inhaled substances. For calculation of the drug concentration at the absorption site, the pulmonary epithelium, physiological parameters such as lung surface and distribution volume (lung lining fluid) have to be known. These parameters can only be determined by invasive techniques and by postmortem studies. Very different values have been reported in the literature. This review addresses the state of software programs for simulation of orally inhaled substances and focuses on problems in the determination of particle deposition, lung surface and of lung lining fluid. The different surface areas for deposition and for drug absorption are difficult to include directly into the simulations. As drug levels are influenced by multiple parameters the role of single parameters in the simulations cannot be identified easily.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 238 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 21%
Researcher 35 15%
Student > Master 23 10%
Student > Bachelor 22 9%
Other 13 5%
Other 31 13%
Unknown 64 27%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 44 18%
Agricultural and Biological Sciences 22 9%
Medicine and Dentistry 21 9%
Engineering 20 8%
Biochemistry, Genetics and Molecular Biology 14 6%
Other 45 19%
Unknown 73 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 21 December 2021.
All research outputs
#1,177,860
of 22,738,543 outputs
Outputs from Frontiers in Pharmacology
#384
of 15,978 outputs
Outputs of similar age
#24,074
of 352,420 outputs
Outputs of similar age from Frontiers in Pharmacology
#3
of 117 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 352,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.