↓ Skip to main content

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
Altmetric Badge

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 (82nd percentile)

Mentioned by

news
128 news outlets
blogs
3 blogs
twitter
585 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 585 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 14%
Researcher 9 13%
Student > Bachelor 7 10%
Student > Master 7 10%
Professor 6 9%
Other 11 16%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 12 17%
Unspecified 10 14%
Biochemistry, Genetics and Molecular Biology 6 9%
Social Sciences 5 7%
Nursing and Health Professions 4 6%
Other 10 14%
Unknown 23 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1436. 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 24 July 2021.
All research outputs
#4,550
of 18,432,973 outputs
Outputs from MMWR: Morbidity & Mortality Weekly Report
#130
of 3,177 outputs
Outputs of similar age
#313
of 333,074 outputs
Outputs of similar age from MMWR: Morbidity & Mortality Weekly Report
#8
of 41 outputs
Altmetric has tracked 18,432,973 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 3,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 242.2. This one has done particularly well, scoring higher than 95% 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 333,074 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 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.