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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 19% |
| Student > Bachelor | 20 | 19% |
| Student > Master | 18 | 17% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Doctoral Student | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 42% |
| Agricultural and Biological Sciences | 13 | 13% |
| Medicine and Dentistry | 12 | 12% |
| Engineering | 5 | 5% |
| Nursing and Health Professions | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 14 | 14% |
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
#6,093,534
of 24,263,143 outputs
Outputs from BMC Medicine
#2,424
of 3,723 outputs
Outputs of similar age
#93,457
of 315,882 outputs
Outputs of similar age from BMC Medicine
#56
of 68 outputs
Altmetric has tracked 24,263,143 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. This one is in the 34th percentile – i.e., 34% 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 315,882 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 70% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.