| Title |
Cas9-Assisted Targeting of CHromosome segments (CATCH) for targeted nanopore sequencing and optical genome mapping
|
|---|---|
| Published in |
bioRxiv, February 2017
|
| DOI | 10.1101/110163 |
| Authors |
Tslil Gabrieli, Hila Sharim, Yael Michaeli, Yuval Ebenstein |
X Demographics
The data shown below were collected from the profiles of 144 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 | 23 | 16% |
| United Kingdom | 22 | 15% |
| Germany | 8 | 6% |
| Canada | 5 | 3% |
| France | 5 | 3% |
| Australia | 4 | 3% |
| Switzerland | 3 | 2% |
| Netherlands | 3 | 2% |
| New Zealand | 3 | 2% |
| Other | 17 | 12% |
| Unknown | 51 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 75 | 52% |
| Members of the public | 69 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 2% |
| Norway | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 121 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 30% |
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 10 | 8% |
| Other | 6 | 5% |
| Other | 17 | 13% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 36% |
| Biochemistry, Genetics and Molecular Biology | 40 | 31% |
| Physics and Astronomy | 5 | 4% |
| Chemistry | 5 | 4% |
| Engineering | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 19 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 29 March 2018.
All research outputs
#458,028
of 24,694,993 outputs
Outputs from bioRxiv
#3,072
of 210,638 outputs
Outputs of similar age
#9,944
of 315,257 outputs
Outputs of similar age from bioRxiv
#15
of 1,735 outputs
Altmetric has tracked 24,694,993 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 210,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 315,257 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 96% of its contemporaries.
We're also able to compare this research output to 1,735 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 99% of its contemporaries.