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X Demographics
Mendeley readers
Attention Score in Context
Title |
Efficient in vivo neuronal genome editing in the mouse brain using nanocapsules containing CRISPR-Cas9 ribonucleoproteins
|
---|---|
Published in |
Clinical Materials, December 2022
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DOI | 10.1016/j.biomaterials.2022.121959 |
Pubmed ID | |
Authors |
Jeanette M Metzger, Yuyuan Wang, Samuel S Neuman, Kathy J Snow, Stephen A Murray, Cathleen M Lutz, Viktoriya Bondarenko, Jesi Felton, Kirstan Gimse, Ruosen Xie, Dongdong Li, Yi Zhao, Matthew T Flowers, Heather A Simmons, Subhojit Roy, Krishanu Saha, Jon E Levine, Marina E Emborg, Shaoqin Gong |
X Demographics
The data shown below were collected from the profiles of 28 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 | 11 | 39% |
India | 2 | 7% |
Russia | 1 | 4% |
Unknown | 14 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 19 | 68% |
Scientists | 7 | 25% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 43% |
Researcher | 1 | 7% |
Student > Postgraduate | 1 | 7% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Engineering | 2 | 14% |
Immunology and Microbiology | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Unknown | 7 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 21 February 2023.
All research outputs
#2,049,520
of 25,394,764 outputs
Outputs from Clinical Materials
#370
of 10,758 outputs
Outputs of similar age
#42,891
of 480,210 outputs
Outputs of similar age from Clinical Materials
#5
of 50 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,758 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 480,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.