| Title |
Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
|
|---|---|
| Published in |
Nature Medicine, May 2020
|
| DOI | 10.1038/s41591-020-0901-9 |
| Pubmed ID | |
| Authors |
Mingfeng Liao, Yang Liu, Jing Yuan, Yanling Wen, Gang Xu, Juanjuan Zhao, Lin Cheng, Jinxiu Li, Xin Wang, Fuxiang Wang, Lei Liu, Ido Amit, Shuye Zhang, Zheng Zhang |
X Demographics
The data shown below were collected from the profiles of 373 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 | 67 | 18% |
| Brazil | 33 | 9% |
| United Kingdom | 21 | 6% |
| Spain | 19 | 5% |
| Canada | 13 | 3% |
| Japan | 10 | 3% |
| Germany | 9 | 2% |
| Italy | 8 | 2% |
| France | 7 | 2% |
| Other | 51 | 14% |
| Unknown | 135 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 242 | 65% |
| Scientists | 106 | 28% |
| Practitioners (doctors, other healthcare professionals) | 17 | 5% |
| Science communicators (journalists, bloggers, editors) | 8 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,553 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1553 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 228 | 15% |
| Researcher | 217 | 14% |
| Student > Bachelor | 144 | 9% |
| Student > Master | 124 | 8% |
| Other | 79 | 5% |
| Other | 250 | 16% |
| Unknown | 511 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 267 | 17% |
| Immunology and Microbiology | 219 | 14% |
| Medicine and Dentistry | 195 | 13% |
| Agricultural and Biological Sciences | 106 | 7% |
| Engineering | 26 | 2% |
| Other | 174 | 11% |
| Unknown | 566 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 681. 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 03 April 2024.
All research outputs
#31,472
of 25,753,578 outputs
Outputs from Nature Medicine
#234
of 9,424 outputs
Outputs of similar age
#1,467
of 421,386 outputs
Outputs of similar age from Nature Medicine
#14
of 161 outputs
Altmetric has tracked 25,753,578 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 9,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.7. This one has done particularly well, scoring higher than 97% 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 421,386 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 161 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 91% of its contemporaries.