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Genome editing for inborn errors of metabolism: advancing towards the clinic

Overview of attention for article published in BMC Medicine, February 2017
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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 (72nd percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Genome editing for inborn errors of metabolism: advancing towards the clinic
Published in
BMC Medicine, February 2017
DOI 10.1186/s12916-017-0798-4
Pubmed ID
Authors

Jessica L. Schneller, Ciaran M. Lee, Gang Bao, Charles P. Venditti

Abstract

Inborn errors of metabolism (IEM) include many disorders for which current treatments aim to ameliorate disease manifestations, but are not curative. Advances in the field of genome editing have recently resulted in the in vivo correction of murine models of IEM. Site-specific endonucleases, such as zinc-finger nucleases and the CRISPR/Cas9 system, in combination with delivery vectors engineered to target disease tissue, have enabled correction of mutations in disease models of hemophilia B, hereditary tyrosinemia type I, ornithine transcarbamylase deficiency, and lysosomal storage disorders. These in vivo gene correction studies, as well as an overview of genome editing and future directions for the field, are reviewed and discussed herein.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 21%
Student > Master 19 20%
Researcher 19 20%
Student > Ph. D. Student 10 11%
Student > Doctoral Student 4 4%
Other 15 16%
Unknown 7 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 43%
Medicine and Dentistry 12 13%
Agricultural and Biological Sciences 12 13%
Engineering 5 5%
Nursing and Health Professions 3 3%
Other 13 14%
Unknown 9 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2017.
All research outputs
#4,540,609
of 19,292,348 outputs
Outputs from BMC Medicine
#1,901
of 2,877 outputs
Outputs of similar age
#75,865
of 272,004 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 19,292,348 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 272,004 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 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them