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Mendeley readers
Attention Score in Context
| Title |
A Defined, Feeder-Free, Serum-Free System to Generate In Vitro Hematopoietic Progenitors and Differentiated Blood Cells from hESCs and hiPSCs
|
|---|---|
| Published in |
PLOS ONE, March 2011
|
| DOI | 10.1371/journal.pone.0017829 |
| Pubmed ID | |
| Authors |
Giorgia Salvagiotto, Sarah Burton, Christine A. Daigh, Deepika Rajesh, Igor I. Slukvin, Nicholas J. Seay |
| Abstract |
Human ESC and iPSC are an attractive source of cells of high quantity and purity to be used to elucidate early human development processes, for drug discovery, and in clinical cell therapy applications. To efficiently differentiate pluripotent cells into a pure population of hematopoietic progenitors we have developed a new 2-dimensional, defined and highly efficient protocol that avoids the use of feeder cells, serum or embryoid body formation. Here we showed that a single matrix protein in combination with growth factors and a hypoxic environment is sufficient to generate from pluripotent cells hematopoietic progenitors capable of differentiating further in mature cell types of different lineages of the blood system. We tested the differentiation method using hESCs and 9 iPSC lines generated from different tissues. These data indicate the robustness of the protocol providing a valuable tool for the generation of clinical-grade hematopoietic cells from pluripotent cells. |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 1 | <1% |
| Thailand | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 149 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 27% |
| Student > Ph. D. Student | 38 | 25% |
| Student > Bachelor | 12 | 8% |
| Student > Master | 12 | 8% |
| Student > Postgraduate | 7 | 5% |
| Other | 22 | 14% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 40% |
| Biochemistry, Genetics and Molecular Biology | 30 | 19% |
| Medicine and Dentistry | 15 | 10% |
| Engineering | 5 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 26 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 14 November 2023.
All research outputs
#2,089,060
of 23,234,261 outputs
Outputs from PLOS ONE
#26,421
of 198,559 outputs
Outputs of similar age
#9,993
of 120,560 outputs
Outputs of similar age from PLOS ONE
#219
of 1,409 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. 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 120,560 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 91% of its contemporaries.
We're also able to compare this research output to 1,409 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.