The data shown below were collected from the profiles of 5,453 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC)
|
---|---|
Published in |
Nature Immunology, September 2023
|
DOI | 10.1038/s41590-023-01601-2 |
Pubmed ID | |
Authors |
Amy D. Proal, Michael B. VanElzakker, Soo Aleman, Katie Bach, Brittany P. Boribong, Marcus Buggert, Sara Cherry, Daniel S. Chertow, Helen E. Davies, Christopher L. Dupont, Steven G. Deeks, William Eimer, E. Wesley Ely, Alessio Fasano, Marcelo Freire, Linda N. Geng, Diane E. Griffin, Timothy J. Henrich, Akiko Iwasaki, David Izquierdo-Garcia, Michela Locci, Saurabh Mehandru, Mark M. Painter, Michael J. Peluso, Etheresia Pretorius, David A. Price, David Putrino, Richard H. Scheuermann, Gene S. Tan, Rudolph E. Tanzi, Henry F. VanBrocklin, Lael M. Yonker, E. John Wherry |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 670 | 12% |
Japan | 403 | 7% |
United Kingdom | 231 | 4% |
Canada | 180 | 3% |
Australia | 96 | 2% |
Germany | 94 | 2% |
Brazil | 93 | 2% |
France | 86 | 2% |
Spain | 79 | 1% |
Other | 453 | 8% |
Unknown | 3068 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4816 | 88% |
Scientists | 313 | 6% |
Practitioners (doctors, other healthcare professionals) | 226 | 4% |
Science communicators (journalists, bloggers, editors) | 86 | 2% |
Unknown | 12 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 119 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 24% |
Student > Ph. D. Student | 15 | 13% |
Student > Bachelor | 7 | 6% |
Other | 7 | 6% |
Student > Master | 6 | 5% |
Other | 14 | 12% |
Unknown | 41 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 15% |
Medicine and Dentistry | 16 | 13% |
Immunology and Microbiology | 11 | 9% |
Agricultural and Biological Sciences | 7 | 6% |
Neuroscience | 7 | 6% |
Other | 17 | 14% |
Unknown | 43 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3700. 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 11 October 2024.
All research outputs
#1,500
of 26,812,496 outputs
Outputs from Nature Immunology
#2
of 4,406 outputs
Outputs of similar age
#28
of 366,723 outputs
Outputs of similar age from Nature Immunology
#1
of 84 outputs
Altmetric has tracked 26,812,496 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 4,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. 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 366,723 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 84 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.