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Innovations in preclinical biology: ex vivo engineering of a human kidney tissue microperfusion system

Overview of attention for article published in Stem Cell Research & Therapy, December 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Innovations in preclinical biology: ex vivo engineering of a human kidney tissue microperfusion system
Published in
Stem Cell Research & Therapy, December 2013
DOI 10.1186/scrt378
Pubmed ID
Authors

Edward J Kelly, Zhican Wang, Jenna L Voellinger, Cathy K Yeung, Danny D Shen, Kenneth E Thummel, Ying Zheng, Giovanni Ligresti, David L Eaton, Kimberly A Muczynski, Jeremy S Duffield, Thomas Neumann, Anna Tourovskaia, Mark Fauver, Greg Kramer, Elizabeth Asp, Jonathan Himmelfarb

Abstract

Kidney disease is a public health problem that affects more than 20 million people in the US adult population, yet little is understood about the impact of kidney disease on drug disposition. Consequently there is a critical need to be able to model the human kidney and other organ systems, to improve our understanding of drug efficacy, safety, and toxicity, especially during drug development. The kidneys in general, and the proximal tubule specifically, play a central role in the elimination of xenobiotics. With recent advances in molecular investigation, considerable information has been gathered regarding the substrate profiles of the individual transporters expressed in the proximal tubule. However, we have little knowledge of how these transporters coupled with intracellular enzymes and influenced by metabolic pathways form an efficient secretory and reabsorptive mechanism in the renal tubule. Proximal tubular secretion and reabsorption of xenobiotics is critically dependent on interactions with peritubular capillaries and the interstitium. We plan to robustly model the human kidney tubule interstitium, utilizing an ex vivo three-dimensional modular microphysiological system with human kidney-derived cells. The microphysiological system should accurately reflect human physiology, be usable to predict renal handling of xenobiotics, and should assess mechanisms of kidney injury, and the biological response to injury, from endogenous and exogenous intoxicants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 30%
Researcher 11 18%
Student > Bachelor 7 12%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 7 12%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 23%
Engineering 11 18%
Biochemistry, Genetics and Molecular Biology 7 12%
Medicine and Dentistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Other 9 15%
Unknown 10 17%
Attention Score in Context

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 12 December 2023.
All research outputs
#7,806,117
of 25,008,338 outputs
Outputs from Stem Cell Research & Therapy
#797
of 2,712 outputs
Outputs of similar age
#88,149
of 319,432 outputs
Outputs of similar age from Stem Cell Research & Therapy
#17
of 39 outputs
Altmetric has tracked 25,008,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,712 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 69% 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 319,432 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 71% of its contemporaries.
We're also able to compare this research output to 39 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 53% of its contemporaries.