↓ Skip to main content
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
patent
60 patents

Readers on

mendeley
172 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Improved Hematopoietic Differentiation Efficiency of Gene-Corrected Beta-Thalassemia Induced Pluripotent Stem Cells by CRISPR/Cas9 System
Published in
Stem Cells & Development, February 2015
DOI 10.1089/scd.2014.0347
Pubmed ID
Authors
Abstract

The generation of beta-thalassemia (β-Thal) patient-specific induced pluripotent stem cells (iPSCs), subsequent homologous recombination-based gene correction of disease-causing mutations/deletions in the β-globin gene (HBB) and their derived hematopoietic stem cells (HSCs) transplantation offers an ideal therapeutic solution for treating this disease. However, the hematopoietic differentiation efficiency of gene-corrected β-Thal iPSCs has not been well evaluated in the previous studies. In this study, we used the latest gene-editing tool CRISPR/Cas9 to correct β-Thal iPSCs, gene-corrected cells exhibit normal karyotypes and fully pluripotency as hES, showed no off-targeting effects. Then we evaluated the differentiation efficiency of the gene corrected β-Thal iPSCs. We found that during hematopoietic differentiation, gene-corrected β-Thal iPSCs showed increased embryoid body (EB) ratio and various hematopoietic progenitor cells percentages. More importantly, the gene-corrected β-Thal iPS cell lines restored HBB expression and reduced reactive oxygen species (ROS) production compared to un-corrected group. Our study suggested that hematopoietic differentiation efficiency of β-Thal iPSCs were greatly improved once corrected by CRISPR/Cas9 system. And the information gained from our study would greatly promote the clinical application of β-Thal iPSCs-derived HSCs in transplantation.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
United Kingdom 1 <1%
Finland 1 <1%
Spain 1 <1%
China 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Unknown 164 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 17%
Student > Ph. D. Student 27 16%
Student > Bachelor 25 15%
Student > Master 23 13%
Other 9 5%
Other 18 10%
Unknown 41 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 48 28%
Biochemistry, Genetics and Molecular Biology 42 24%
Medicine and Dentistry 13 8%
Immunology and Microbiology 5 3%
Engineering 5 3%
Other 17 10%
Unknown 42 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 13 October 2026.
All research outputs
#2,650,571
of 34,364,397 outputs
Outputs from Stem Cells & Development
#127
of 2,040 outputs
Outputs of similar age
#30,208
of 409,099 outputs
Outputs of similar age from Stem Cells & Development
#3
of 44 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,040 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% 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 409,099 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 92% of its contemporaries.
We're also able to compare this research output to 44 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 93% of its contemporaries.