| Title |
Towards Quantitation of the Effects of Renal Impairment and Probenecid Inhibition on Kidney Uptake and Efflux Transporters, Using Physiologically Based Pharmacokinetic Modelling and Simulations
|
|---|---|
| Published in |
Clinical Pharmacokinetics, March 2014
|
| DOI | 10.1007/s40262-013-0117-y |
| Pubmed ID | |
| Authors |
Vicky Hsu, Manuela de L. T. Vieira, Ping Zhao, Lei Zhang, Jenny Huimin Zheng, Anna Nordmark, Eva Gil Berglund, Kathleen M. Giacomini, Shiew-Mei Huang |
| Abstract |
The kidney is a major drug-eliminating organ. Renal impairment or concomitant use of transporter inhibitors may decrease active secretion and increase exposure to a drug that is a substrate of kidney secretory transporters. However, prediction of the effects of patient factors on kidney transporters remains challenging because of the multiplicity of transporters and the lack of understanding of their abundance and specificity. The objective of this study was to use physiologically based pharmacokinetic (PBPK) modelling to evaluate the effects of patient factors on kidney transporters. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| India | 1 | 1% |
| Unknown | 85 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 24% |
| Researcher | 19 | 22% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Student > Postgraduate | 5 | 6% |
| Other | 6 | 7% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 25 | 28% |
| Medicine and Dentistry | 18 | 20% |
| Agricultural and Biological Sciences | 11 | 13% |
| Unspecified | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 23 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 June 2018.
All research outputs
#6,932,073
of 22,729,647 outputs
Outputs from Clinical Pharmacokinetics
#546
of 1,481 outputs
Outputs of similar age
#66,815
of 222,100 outputs
Outputs of similar age from Clinical Pharmacokinetics
#5
of 14 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,481 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 61% 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 222,100 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 14 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 57% of its contemporaries.