| Title |
Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes
|
|---|---|
| Published in |
Nature Biotechnology, January 2021
|
| DOI | 10.1038/s41587-020-00795-2 |
| Pubmed ID | |
| Authors |
Ruli Gao, Shanshan Bai, Ying C. Henderson, Yiyun Lin, Aislyn Schalck, Yun Yan, Tapsi Kumar, Min Hu, Emi Sei, Alexander Davis, Fang Wang, Simona F. Shaitelman, Jennifer Rui Wang, Ken Chen, Stacy Moulder, Stephen Y. Lai, Nicholas E. Navin |
X Demographics
The data shown below were collected from the profiles of 181 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 | 60 | 33% |
| United Kingdom | 14 | 8% |
| India | 7 | 4% |
| Germany | 4 | 2% |
| Austria | 3 | 2% |
| Australia | 3 | 2% |
| France | 3 | 2% |
| Italy | 3 | 2% |
| Sweden | 2 | 1% |
| Other | 15 | 8% |
| Unknown | 67 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 91 | 50% |
| Members of the public | 81 | 45% |
| Practitioners (doctors, other healthcare professionals) | 5 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 399 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 399 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 19% |
| Researcher | 65 | 16% |
| Student > Bachelor | 35 | 9% |
| Student > Master | 30 | 8% |
| Student > Doctoral Student | 13 | 3% |
| Other | 39 | 10% |
| Unknown | 141 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 105 | 26% |
| Agricultural and Biological Sciences | 48 | 12% |
| Medicine and Dentistry | 27 | 7% |
| Computer Science | 19 | 5% |
| Immunology and Microbiology | 11 | 3% |
| Other | 36 | 9% |
| Unknown | 153 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 254. 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
#149,369
of 25,890,819 outputs
Outputs from Nature Biotechnology
#290
of 8,636 outputs
Outputs of similar age
#4,442
of 534,833 outputs
Outputs of similar age from Nature Biotechnology
#5
of 78 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,636 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. 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 534,833 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 99% of its contemporaries.
We're also able to compare this research output to 78 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 93% of its contemporaries.