Title |
Web-based design and analysis tools for CRISPR base editing
|
---|---|
Published in |
BMC Bioinformatics, December 2018
|
DOI | 10.1186/s12859-018-2585-4 |
Pubmed ID | |
Authors |
Gue-Ho Hwang, Jeongbin Park, Kayeong Lim, Sunghyun Kim, Jihyeon Yu, Eunchong Yu, Sang-Tae Kim, Roland Eils, Jin-Soo Kim, Sangsu Bae |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | 10% |
India | 1 | 10% |
Germany | 1 | 10% |
United States | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 70% |
Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 181 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 19% |
Student > Ph. D. Student | 30 | 17% |
Student > Master | 17 | 9% |
Student > Bachelor | 15 | 8% |
Student > Doctoral Student | 9 | 5% |
Other | 23 | 13% |
Unknown | 53 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 62 | 34% |
Agricultural and Biological Sciences | 38 | 21% |
Computer Science | 4 | 2% |
Immunology and Microbiology | 4 | 2% |
Engineering | 3 | 2% |
Other | 12 | 7% |
Unknown | 58 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 19 March 2024.
All research outputs
#2,650,117
of 24,129,125 outputs
Outputs from BMC Bioinformatics
#791
of 7,504 outputs
Outputs of similar age
#60,961
of 444,961 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 214 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,504 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 444,961 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 86% of its contemporaries.
We're also able to compare this research output to 214 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.