| Title |
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
|
|---|---|
| Published in |
Nature Communications, January 2019
|
| DOI | 10.1038/s41467-018-08023-x |
| Pubmed ID | |
| Authors |
Xuran Wang, Jihwan Park, Katalin Susztak, Nancy R. Zhang, Mingyao Li |
X Demographics
The data shown below were collected from the profiles of 119 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 | 42 | 35% |
| United Kingdom | 8 | 7% |
| Canada | 6 | 5% |
| Germany | 5 | 4% |
| Sweden | 4 | 3% |
| France | 3 | 3% |
| Australia | 3 | 3% |
| Switzerland | 2 | 2% |
| Norway | 1 | <1% |
| Other | 9 | 8% |
| Unknown | 36 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 76 | 64% |
| Members of the public | 39 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 920 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 920 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 212 | 23% |
| Researcher | 174 | 19% |
| Student > Master | 84 | 9% |
| Student > Bachelor | 70 | 8% |
| Student > Doctoral Student | 40 | 4% |
| Other | 85 | 9% |
| Unknown | 255 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 250 | 27% |
| Agricultural and Biological Sciences | 118 | 13% |
| Medicine and Dentistry | 59 | 6% |
| Computer Science | 56 | 6% |
| Immunology and Microbiology | 39 | 4% |
| Other | 112 | 12% |
| Unknown | 286 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 17 January 2022.
All research outputs
#527,519
of 26,017,215 outputs
Outputs from Nature Communications
#8,963
of 58,133 outputs
Outputs of similar age
#11,984
of 452,559 outputs
Outputs of similar age from Nature Communications
#219
of 1,271 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done well, scoring higher than 84% 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 452,559 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 1,271 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.