↓ Skip to main content

Genomic approaches to identifying targets for treating β hemoglobinopathies

Overview of attention for article published in BMC Medical Genomics, July 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
68 Mendeley
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.
Title
Genomic approaches to identifying targets for treating β hemoglobinopathies
Published in
BMC Medical Genomics, July 2015
DOI 10.1186/s12920-015-0120-2
Pubmed ID
Authors

Duyen A. Ngo, Martin H. Steinberg

Abstract

Sickle cell disease and β thalassemia are common severe diseases with little effective pathophysiologically-based treatment. Their phenotypic heterogeneity prompted genomic approaches to identify modifiers that ultimately might be exploited therapeutically. Fetal hemoglobin (HbF) is the major modulator of the phenotype of the β hemoglobinopathies. HbF inhibits deoxyHbS polymerization and in β thalassemia compensates for the reduction of HbA. The major success of genomics has been a better understanding the genetic regulation of HbF by identifying the major quantitative trait loci for this trait. If the targets identified can lead to means of increasing HbF to therapeutic levels in sufficient numbers of sickle or β-thalassemia erythrocytes, the pathophysiology of these diseases would be reversed. The availability of new target loci, high-throughput drug screening, and recent advances in genome editing provide the opportunity for new approaches to therapeutically increasing HbF production.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Brazil 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 21%
Student > Ph. D. Student 13 19%
Researcher 8 12%
Student > Master 7 10%
Other 5 7%
Other 14 21%
Unknown 7 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 31%
Medicine and Dentistry 13 19%
Agricultural and Biological Sciences 11 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Nursing and Health Professions 2 3%
Other 8 12%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 January 2019.
All research outputs
#7,536,586
of 22,994,508 outputs
Outputs from BMC Medical Genomics
#370
of 1,230 outputs
Outputs of similar age
#89,428
of 263,884 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 20 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,230 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 263,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.