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Directing human embryonic stem cell differentiation towards a renal lineage generates a self-organizing kidney

Overview of attention for article published in Nature Cell Biology, December 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Directing human embryonic stem cell differentiation towards a renal lineage generates a self-organizing kidney
Published in
Nature Cell Biology, December 2013
DOI 10.1038/ncb2894
Pubmed ID
Authors

M. Takasato, P. X. Er, M. Becroft, J. M. Vanslambrouck, E. G. Stanley, A. G. Elefanty, M. H. Little

Abstract

With the prevalence of end-stage renal disease rising 8% per annum globally, there is an urgent need for renal regenerative strategies. The kidney is a mesodermal organ that differentiates from the intermediate mesoderm (IM) through the formation of a ureteric bud (UB) and the interaction between this bud and the adjacent IM-derived metanephric mesenchyme (MM). The nephrons arise from a nephron progenitor population derived from the MM (ref. ). The IM itself is derived from the posterior primitive streak. Although the developmental origin of the kidney is well understood, nephron formation in the human kidney is completed before birth. Hence, there is no postnatal stem cell able to replace lost nephrons. In this study, we have successfully directed the differentiation of human embryonic stem cells (hESCs) through posterior primitive streak and IM under fully chemically defined monolayer culture conditions using growth factors used during normal embryogenesis. This differentiation protocol results in the synchronous induction of UB and MM that forms a self-organizing structure, including nephron formation, in vitro. Such hESC-derived components show broad renal potential ex vivo, illustrating the potential for pluripotent-stem-cell-based renal regeneration.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 754 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Germany 2 <1%
Australia 2 <1%
China 2 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Ukraine 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 736 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 169 22%
Researcher 110 15%
Student > Bachelor 96 13%
Student > Master 93 12%
Student > Doctoral Student 43 6%
Other 103 14%
Unknown 140 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 188 25%
Biochemistry, Genetics and Molecular Biology 172 23%
Medicine and Dentistry 82 11%
Engineering 57 8%
Pharmacology, Toxicology and Pharmaceutical Science 17 2%
Other 80 11%
Unknown 158 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 200. 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 February 2024.
All research outputs
#200,866
of 26,017,215 outputs
Outputs from Nature Cell Biology
#63
of 4,184 outputs
Outputs of similar age
#1,747
of 326,374 outputs
Outputs of similar age from Nature Cell Biology
#2
of 42 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done particularly well, scoring higher than 98% 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 326,374 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 99% of its contemporaries.
We're also able to compare this research output to 42 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 95% of its contemporaries.