Title |
Allele-specific RNA interference prevents neuropathy in Charcot-Marie-Tooth disease type 2D mouse models
|
---|---|
Published in |
Journal of Clinical Investigation, November 2019
|
DOI | 10.1172/jci130600 |
Pubmed ID | |
Authors |
Kathryn H Morelli, Laurie B Griffin, Nettie K Pyne, Lindsay M Wallace, Allison M Fowler, Stephanie N Oprescu, Ryuichi Takase, Na Wei, Rebecca Meyer-Schuman, Dattatreya Mellacheruvu, Jacob O Kitzman, Samuel G Kocen, Timothy J Hines, Emily L Spaulding, James R Lupski, Alexey Nesvizhskii, Pedro Mancias, Ian J Butler, Xiang-Lei Yang, Ya-Ming Hou, Anthony Antonellis, Scott Q Harper, Robert W Burgess |
X Demographics
The data shown below were collected from the profiles of 22 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 | 8 | 36% |
United Kingdom | 3 | 14% |
Tanzania, United Republic of | 1 | 5% |
Sweden | 1 | 5% |
Japan | 1 | 5% |
Unknown | 8 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 64% |
Scientists | 8 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 19% |
Student > Ph. D. Student | 11 | 16% |
Student > Bachelor | 4 | 6% |
Unspecified | 3 | 4% |
Professor | 3 | 4% |
Other | 12 | 18% |
Unknown | 21 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 27% |
Medicine and Dentistry | 7 | 10% |
Agricultural and Biological Sciences | 5 | 7% |
Neuroscience | 4 | 6% |
Unspecified | 3 | 4% |
Other | 7 | 10% |
Unknown | 23 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 September 2021.
All research outputs
#1,819,415
of 25,331,507 outputs
Outputs from Journal of Clinical Investigation
#2,363
of 17,156 outputs
Outputs of similar age
#37,961
of 368,389 outputs
Outputs of similar age from Journal of Clinical Investigation
#43
of 142 outputs
Altmetric has tracked 25,331,507 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 17,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 86% 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 368,389 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 89% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.