| Title |
CRISPR–Cas9-based photoactivatable transcription systems to induce neuronal differentiation
|
|---|---|
| Published in |
Nature Methods, September 2017
|
| DOI | 10.1038/nmeth.4430 |
| Pubmed ID | |
| Authors |
Yuta Nihongaki, Yuichi Furuhata, Takahiro Otabe, Saki Hasegawa, Keitaro Yoshimoto, Moritoshi Sato |
X Demographics
The data shown below were collected from the profiles of 15 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 | 2 | 13% |
| France | 1 | 7% |
| China | 1 | 7% |
| United Kingdom | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 321 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 20% |
| Student > Ph. D. Student | 61 | 19% |
| Student > Bachelor | 35 | 11% |
| Student > Master | 26 | 8% |
| Student > Postgraduate | 15 | 5% |
| Other | 46 | 14% |
| Unknown | 75 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 98 | 31% |
| Agricultural and Biological Sciences | 69 | 21% |
| Neuroscience | 26 | 8% |
| Chemistry | 11 | 3% |
| Medicine and Dentistry | 8 | 2% |
| Other | 25 | 8% |
| Unknown | 84 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 03 September 2020.
All research outputs
#2,293,072
of 26,017,215 outputs
Outputs from Nature Methods
#2,407
of 5,404 outputs
Outputs of similar age
#42,106
of 327,047 outputs
Outputs of similar age from Nature Methods
#42
of 79 outputs
Altmetric has tracked 26,017,215 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 5,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has gotten more attention than average, scoring higher than 55% 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 327,047 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 87% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.