Title |
Delivering SaCas9 mRNA by lentivirus-like bionanoparticles for transient expression and efficient genome editing
|
---|---|
Published in |
Nucleic Acids Research, February 2019
|
DOI | 10.1093/nar/gkz093 |
Pubmed ID | |
Authors |
Baisong Lu, Parisa Javidi-Parsijani, Vishruti Makani, Farideh Mehraein-Ghomi, Walaa Mohamed Sarhan, Dongjun Sun, Kyung Whan Yoo, Zachary P Atala, Pin Lyu, Anthony Atala |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 20% |
Researcher | 16 | 18% |
Student > Master | 10 | 11% |
Student > Bachelor | 9 | 10% |
Student > Doctoral Student | 3 | 3% |
Other | 7 | 8% |
Unknown | 26 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 32 | 36% |
Agricultural and Biological Sciences | 17 | 19% |
Immunology and Microbiology | 3 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Chemical Engineering | 1 | 1% |
Other | 6 | 7% |
Unknown | 28 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 July 2022.
All research outputs
#817,899
of 22,888,307 outputs
Outputs from Nucleic Acids Research
#370
of 26,363 outputs
Outputs of similar age
#22,314
of 446,251 outputs
Outputs of similar age from Nucleic Acids Research
#8
of 210 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,363 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 98% 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 446,251 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 94% of its contemporaries.
We're also able to compare this research output to 210 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 96% of its contemporaries.