| Title |
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
|
|---|---|
| Published in |
Nature Communications, April 2020
|
| DOI | 10.1038/s41467-020-15816-6 |
| Pubmed ID | |
| Authors |
Brandon Jew, Marcus Alvarez, Elior Rahmani, Zong Miao, Arthur Ko, Kristina M. Garske, Jae Hoon Sul, Kirsi H. Pietiläinen, Päivi Pajukanta, Eran Halperin |
X Demographics
The data shown below were collected from the profiles of 42 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 | 12 | 29% |
| United Kingdom | 3 | 7% |
| Canada | 2 | 5% |
| Israel | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Hong Kong | 1 | 2% |
| China | 1 | 2% |
| Italy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 18 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 25 | 60% |
| Members of the public | 15 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 287 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 22% |
| Researcher | 50 | 17% |
| Student > Bachelor | 23 | 8% |
| Student > Master | 20 | 7% |
| Student > Postgraduate | 13 | 5% |
| Other | 35 | 12% |
| Unknown | 83 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 81 | 28% |
| Agricultural and Biological Sciences | 25 | 9% |
| Computer Science | 25 | 9% |
| Medicine and Dentistry | 14 | 5% |
| Neuroscience | 9 | 3% |
| Other | 36 | 13% |
| Unknown | 97 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 30 November 2022.
All research outputs
#983,636
of 25,837,817 outputs
Outputs from Nature Communications
#16,055
of 58,118 outputs
Outputs of similar age
#28,195
of 407,537 outputs
Outputs of similar age from Nature Communications
#483
of 1,511 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,118 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 gotten more attention than average, scoring higher than 72% 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 407,537 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 92% of its contemporaries.
We're also able to compare this research output to 1,511 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.