| Title |
clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers
|
|---|---|
| Published in |
Genome Biology, March 2019
|
| DOI | 10.1186/s13059-019-1645-z |
| Pubmed ID | |
| Authors |
Kieran R. Campbell, Adi Steif, Emma Laks, Hans Zahn, Daniel Lai, Andrew McPherson, Hossein Farahani, Farhia Kabeer, Ciara O’Flanagan, Justina Biele, Jazmine Brimhall, Beixi Wang, Pascale Walters, IMAXT Consortium, Alexandre Bouchard-Côté, Samuel Aparicio, Sohrab P. Shah |
X Demographics
The data shown below were collected from the profiles of 104 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 | 31 | 30% |
| Canada | 9 | 9% |
| United Kingdom | 8 | 8% |
| Germany | 7 | 7% |
| Norway | 3 | 3% |
| Netherlands | 2 | 2% |
| Italy | 2 | 2% |
| Australia | 2 | 2% |
| France | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 27 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 70 | 67% |
| Members of the public | 31 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 184 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 18% |
| Researcher | 30 | 16% |
| Student > Master | 19 | 10% |
| Student > Bachelor | 18 | 10% |
| Student > Postgraduate | 9 | 5% |
| Other | 17 | 9% |
| Unknown | 57 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 59 | 32% |
| Agricultural and Biological Sciences | 22 | 12% |
| Computer Science | 15 | 8% |
| Medicine and Dentistry | 11 | 6% |
| Chemistry | 5 | 3% |
| Other | 14 | 8% |
| Unknown | 58 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 117. 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 February 2024.
All research outputs
#361,973
of 25,604,262 outputs
Outputs from Genome Biology
#169
of 4,493 outputs
Outputs of similar age
#8,135
of 365,350 outputs
Outputs of similar age from Genome Biology
#7
of 59 outputs
Altmetric has tracked 25,604,262 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 4,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 365,350 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 97% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.