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Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Overview of attention for article published in Clinical Epidemiology, March 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
8 X users

Citations

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19 Dimensions

Readers on

mendeley
88 Mendeley
Title
Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS
Published in
Clinical Epidemiology, March 2022
DOI 10.2147/clep.s323292
Pubmed ID
Authors

Kristin Kostka, Talita Duarte-Salles, Albert Prats-Uribe, Anthony G Sena, Andrea Pistillo, Sara Khalid, Lana Y H Lai, Asieh Golozar, Thamir M Alshammari, Dalia M Dawoud, Fredrik Nyberg, Adam B Wilcox, Alan Andryc, Andrew Williams, Anna Ostropolets, Carlos Areia, Chi Young Jung, Christopher A Harle, Christian G Reich, Clair Blacketer, Daniel R Morales, David A Dorr, Edward Burn, Elena Roel, Eng Hooi Tan, Evan Minty, Frank DeFalco, Gabriel de Maeztu, Gigi Lipori, Hiba Alghoul, Hong Zhu, Jason A Thomas, Jiang Bian, Jimyung Park, Jordi Martínez Roldán, Jose D Posada, Juan M Banda, Juan P Horcajada, Julianna Kohler, Karishma Shah, Karthik Natarajan, Kristine E Lynch, Li Liu, Lisa M Schilling, Martina Recalde, Matthew Spotnitz, Mengchun Gong, Michael E Matheny, Neus Valveny, Nicole G Weiskopf, Nigam Shah, Osaid Alser, Paula Casajust, Rae Woong Park, Robert Schuff, Sarah Seager, Scott L DuVall, Seng Chan You, Seokyoung Song, Sergio Fernández-Bertolín, Stephen Fortin, Tanja Magoc, Thomas Falconer, Vignesh Subbian, Vojtech Huser, Waheed-Ul-Rahman Ahmed, William Carter, Yin Guan, Yankuic Galvan, Xing He, Peter R Rijnbeek, George Hripcsak, Patrick B Ryan, Marc A Suchard, Daniel Prieto-Alhambra

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 11%
Student > Master 8 9%
Student > Bachelor 6 7%
Other 5 6%
Student > Ph. D. Student 5 6%
Other 12 14%
Unknown 42 48%
Readers by discipline Count As %
Medicine and Dentistry 15 17%
Computer Science 6 7%
Nursing and Health Professions 5 6%
Social Sciences 3 3%
Agricultural and Biological Sciences 2 2%
Other 10 11%
Unknown 47 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 September 2022.
All research outputs
#6,636,690
of 24,520,187 outputs
Outputs from Clinical Epidemiology
#255
of 774 outputs
Outputs of similar age
#129,685
of 434,547 outputs
Outputs of similar age from Clinical Epidemiology
#8
of 30 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 66% 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 434,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.