| Title |
Exploiting activation and inactivation mechanisms in type I-C CRISPR-Cas3 for genome-editing applications
|
|---|---|
| Published in |
Molecular Cell, January 2024
|
| DOI | 10.1016/j.molcel.2023.12.034 |
| Pubmed ID | |
| Authors |
Chunyi Hu, Mason T Myers, Xufei Zhou, Zhonggang Hou, Macy L Lozen, Ki Hyun Nam, Yan Zhang, Ailong Ke |
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 | 5 | 25% |
| Japan | 2 | 10% |
| Netherlands | 1 | 5% |
| Singapore | 1 | 5% |
| Turkey | 1 | 5% |
| Colombia | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 7 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Other | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Computer Science | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 12 February 2024.
All research outputs
#463,229
of 25,890,819 outputs
Outputs from Molecular Cell
#268
of 7,707 outputs
Outputs of similar age
#7,129
of 356,628 outputs
Outputs of similar age from Molecular Cell
#11
of 113 outputs
Altmetric has tracked 25,890,819 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,707 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. 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 356,628 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 98% of its contemporaries.
We're also able to compare this research output to 113 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.