↓ Skip to main content

Treating hemoglobinopathies using gene-correction approaches: promises and challenges

Overview of attention for article published in Human Genetics, June 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
4 X users
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
85 Mendeley
Title
Treating hemoglobinopathies using gene-correction approaches: promises and challenges
Published in
Human Genetics, June 2016
DOI 10.1007/s00439-016-1696-0
Pubmed ID
Authors

Renee N. Cottle, Ciaran M. Lee, Gang Bao

Abstract

Hemoglobinopathies are genetic disorders caused by aberrant hemoglobin expression or structure changes, resulting in severe mortality and health disparities worldwide. Sickle cell disease (SCD) and β-thalassemia, the most common forms of hemoglobinopathies, are typically treated using transfusions and pharmacological agents. Allogeneic hematopoietic stem cell transplantation is the only curative therapy, but has limited clinical applicability. Although gene therapy approaches have been proposed based on the insertion and forced expression of wild-type or anti-sickling β-globin variants, safety concerns may impede their clinical application. A novel curative approach is nuclease-based gene correction, which involves the application of precision genome-editing tools to correct the disease-causing mutation. This review describes the development and potential application of gene therapy and precision genome-editing approaches for treating SCD and β-thalassemia. The opportunities and challenges in advancing a curative therapy for hemoglobinopathies are also discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Student > Bachelor 13 15%
Researcher 12 14%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 6 7%
Other 13 15%
Unknown 19 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 32%
Medicine and Dentistry 13 15%
Agricultural and Biological Sciences 7 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Nursing and Health Professions 4 5%
Other 11 13%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 October 2022.
All research outputs
#4,847,469
of 23,506,079 outputs
Outputs from Human Genetics
#480
of 2,996 outputs
Outputs of similar age
#84,892
of 354,678 outputs
Outputs of similar age from Human Genetics
#5
of 37 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,996 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 83% 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 354,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.