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Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021

Overview of attention for article published in MMWR: Morbidity & Mortality Weekly Report, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
149 news outlets
blogs
4 blogs
policy
2 policy sources
twitter
518 X users
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
173 Mendeley
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Title
Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021
Published in
MMWR: Morbidity & Mortality Weekly Report, May 2021
DOI 10.15585/mmwr.mm7019e3
Pubmed ID
Authors

Rebecca K. Borchering, Cécile Viboud, Emily Howerton, Claire P. Smith, Shaun Truelove, Michael C. Runge, Nicholas G. Reich, Lucie Contamin, John Levander, Jessica Salerno, Wilbert van Panhuis, Matt Kinsey, Kate Tallaksen, R. Freddy Obrecht, Laura Asher, Cash Costello, Michael Kelbaugh, Shelby Wilson, Lauren Shin, Molly E. Gallagher, Luke C. Mullany, Kaitlin Rainwater-Lovett, Joseph C. Lemaitre, Juan Dent, Kyra H. Grantz, Joshua Kaminsky, Stephen A. Lauer, Elizabeth C. Lee, Hannah R. Meredith, Javier Perez-Saez, Lindsay T. Keegan, Dean Karlen, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Ajitesh Srivastava, Przemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, James Schlitt, Patrick Corbett, Pyrros Alexander Telionis, Lijing Wang, Akhil Sai Peddireddy, Benjamin Hurt, Jiangzhuo Chen, Anil Vullikanti, Madhav Marathe, Jessica M. Healy, Rachel B. Slayton, Matthew Biggerstaff, Michael A. Johansson, Katriona Shea, Justin Lessler

X Demographics

X Demographics

The data shown below were collected from the profiles of 518 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 173 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 12%
Student > Bachelor 18 10%
Student > Master 16 9%
Professor 11 6%
Student > Ph. D. Student 8 5%
Other 25 14%
Unknown 74 43%
Readers by discipline Count As %
Medicine and Dentistry 29 17%
Nursing and Health Professions 13 8%
Social Sciences 9 5%
Biochemistry, Genetics and Molecular Biology 6 3%
Economics, Econometrics and Finance 5 3%
Other 28 16%
Unknown 83 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1544. 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 12 June 2023.
All research outputs
#7,488
of 25,591,967 outputs
Outputs from MMWR: Morbidity & Mortality Weekly Report
#232
of 4,259 outputs
Outputs of similar age
#355
of 455,822 outputs
Outputs of similar age from MMWR: Morbidity & Mortality Weekly Report
#17
of 100 outputs
Altmetric has tracked 25,591,967 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 4,259 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 336.4. This one has done particularly well, scoring higher than 94% 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 455,822 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 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.