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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generation of vascular endothelial and smooth muscle cells from human pluripotent stem cells
|
|---|---|
| Published in |
Nature Cell Biology, July 2015
|
| DOI | 10.1038/ncb3205 |
| Pubmed ID | |
| Authors |
Christoph Patsch, Ludivine Challet-Meylan, Eva C. Thoma, Eduard Urich, Tobias Heckel, John F. O’Sullivan, Stephanie J. Grainger, Friedrich G. Kapp, Lin Sun, Klaus Christensen, Yulei Xia, Mary H. C. Florido, Wei He, Wei Pan, Michael Prummer, Curtis R. Warren, Roland Jakob-Roetne, Ulrich Certa, Ravi Jagasia, Per-Ola Freskgård, Isaac Adatto, Dorothee Kling, Paul Huang, Leonard I. Zon, Elliot L. Chaikof, Robert E. Gerszten, Martin Graf, Roberto Iacone, Chad A. Cowan |
| Abstract |
The use of human pluripotent stem cells for in vitro disease modelling and clinical applications requires protocols that convert these cells into relevant adult cell types. Here, we report the rapid and efficient differentiation of human pluripotent stem cells into vascular endothelial and smooth muscle cells. We found that GSK3 inhibition and BMP4 treatment rapidly committed pluripotent cells to a mesodermal fate and subsequent exposure to VEGF-A or PDGF-BB resulted in the differentiation of either endothelial or vascular smooth muscle cells, respectively. Both protocols produced mature cells with efficiencies exceeding 80% within six days. On purification to 99% via surface markers, endothelial cells maintained their identity, as assessed by marker gene expression, and showed relevant in vitro and in vivo functionality. Global transcriptional and metabolomic analyses confirmed that the cells closely resembled their in vivo counterparts. Our results suggest that these cells could be used to faithfully model human disease. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 23% |
| Japan | 1 | 8% |
| France | 1 | 8% |
| Austria | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 46% |
| Members of the public | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 715 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | <1% |
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 705 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 150 | 21% |
| Researcher | 128 | 18% |
| Student > Bachelor | 80 | 11% |
| Student > Master | 76 | 11% |
| Student > Doctoral Student | 34 | 5% |
| Other | 91 | 13% |
| Unknown | 156 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 181 | 25% |
| Agricultural and Biological Sciences | 125 | 17% |
| Medicine and Dentistry | 76 | 11% |
| Engineering | 66 | 9% |
| Neuroscience | 19 | 3% |
| Other | 72 | 10% |
| Unknown | 176 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 28 November 2023.
All research outputs
#1,012,156
of 25,983,475 outputs
Outputs from Nature Cell Biology
#586
of 4,186 outputs
Outputs of similar age
#12,041
of 275,747 outputs
Outputs of similar age from Nature Cell Biology
#8
of 50 outputs
Altmetric has tracked 25,983,475 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done well, scoring higher than 86% 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 275,747 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 95% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.