| Title |
CRISPR-SONIC: targeted somatic oncogene knock-in enables rapid in vivo cancer modeling
|
|---|---|
| Published in |
Genome Medicine, April 2019
|
| DOI | 10.1186/s13073-019-0627-9 |
| Pubmed ID | |
| Authors |
Haiwei Mou, Deniz M. Ozata, Jordan L. Smith, Ankur Sheel, Suet-Yan Kwan, Soren Hough, Alper Kucukural, Zachary Kennedy, Yueying Cao, Wen Xue |
X Demographics
The data shown below were collected from the profiles of 20 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 | 40% |
| United Kingdom | 2 | 10% |
| France | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 8 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Student > Bachelor | 8 | 15% |
| Researcher | 4 | 8% |
| Other | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 42% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 33% |
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 04 February 2020.
All research outputs
#2,527,100
of 23,301,510 outputs
Outputs from Genome Medicine
#585
of 1,456 outputs
Outputs of similar age
#52,957
of 319,701 outputs
Outputs of similar age from Genome Medicine
#9
of 22 outputs
Altmetric has tracked 23,301,510 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 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 59% 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 319,701 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 83% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.