| Title |
Multiple early factors anticipate post-acute COVID-19 sequelae
|
|---|---|
| Published in |
Cell, January 2022
|
| DOI | 10.1016/j.cell.2022.01.014 |
| Pubmed ID | |
| Authors |
Yapeng Su, Dan Yuan, Daniel G. Chen, Rachel H. Ng, Kai Wang, Jongchan Choi, Sarah Li, Sunga Hong, Rongyu Zhang, Jingyi Xie, Sergey A. Kornilov, Kelsey Scherler, Ana Jimena Pavlovitch-Bedzyk, Shen Dong, Christopher Lausted, Inyoul Lee, Shannon Fallen, Chengzhen L. Dai, Priyanka Baloni, Brett Smith, Venkata R. Duvvuri, Kristin G. Anderson, Jing Li, Fan Yang, Caroline J. Duncombe, Denise J. McCulloch, Clifford Rostomily, Pamela Troisch, Jing Zhou, Sean Mackay, Quinn DeGottardi, Damon H. May, Ruth Taniguchi, Rachel M. Gittelman, Mark Klinger, Thomas M. Snyder, Ryan Roper, Gladys Wojciechowska, Kim Murray, Rick Edmark, Simon Evans, Lesley Jones, Yong Zhou, Lee Rowen, Rachel Liu, William Chour, Heather A. Algren, William R. Berrington, Julie A. Wallick, Rebecca A. Cochran, Mary E. Micikas, the ISB-Swedish COVID-19 Biobanking Unit, Terri Wrin, Christos J. Petropoulos, Hunter R. Cole, Trevan D. Fischer, Wei Wei, Dave S.B. Hoon, Nathan D. Price, Naeha Subramanian, Joshua A. Hill, Jennifer Hadlock, Andrew T. Magis, Antoni Ribas, Lewis L. Lanier, Scott D. Boyd, Jeffrey A. Bluestone, Helen Chu, Leroy Hood, Raphael Gottardo, Philip D. Greenberg, Mark M. Davis, Jason D. Goldman, James R. Heath |
X Demographics
The data shown below were collected from the profiles of 2,947 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 | 378 | 13% |
| Canada | 108 | 4% |
| United Kingdom | 99 | 3% |
| Japan | 83 | 3% |
| Australia | 70 | 2% |
| Mexico | 69 | 2% |
| Spain | 60 | 2% |
| France | 60 | 2% |
| Germany | 55 | 2% |
| Other | 384 | 13% |
| Unknown | 1581 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2447 | 83% |
| Scientists | 271 | 9% |
| Practitioners (doctors, other healthcare professionals) | 167 | 6% |
| Science communicators (journalists, bloggers, editors) | 57 | 2% |
| Unknown | 5 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 699 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 699 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 101 | 14% |
| Student > Ph. D. Student | 63 | 9% |
| Student > Bachelor | 54 | 8% |
| Other | 42 | 6% |
| Student > Master | 37 | 5% |
| Other | 91 | 13% |
| Unknown | 311 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 102 | 15% |
| Biochemistry, Genetics and Molecular Biology | 61 | 9% |
| Immunology and Microbiology | 43 | 6% |
| Agricultural and Biological Sciences | 32 | 5% |
| Nursing and Health Professions | 16 | 2% |
| Other | 121 | 17% |
| Unknown | 324 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5115. 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 22 April 2024.
All research outputs
#788
of 25,800,372 outputs
Outputs from Cell
#6
of 17,294 outputs
Outputs of similar age
#57
of 522,054 outputs
Outputs of similar age from Cell
#2
of 105 outputs
Altmetric has tracked 25,800,372 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 17,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.0. This one has done particularly well, scoring higher than 99% 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 522,054 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 105 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 98% of its contemporaries.