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Reversion of advanced Ebola virus disease in nonhuman primates with ZMapp

Overview of attention for article published in Nature, August 2014
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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 (98th percentile)

Citations

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572 Dimensions

Readers on

mendeley
754 Mendeley
citeulike
2 CiteULike
Title
Reversion of advanced Ebola virus disease in nonhuman primates with ZMapp
Published in
Nature, August 2014
DOI 10.1038/nature13777
Pubmed ID
Authors

Xiangguo Qiu, Gary Wong, Jonathan Audet, Alexander Bello, Lisa Fernando, Judie B. Alimonti, Hugues Fausther-Bovendo, Haiyan Wei, Jenna Aviles, Ernie Hiatt, Ashley Johnson, Josh Morton, Kelsi Swope, Ognian Bohorov, Natasha Bohorova, Charles Goodman, Do Kim, Michael H. Pauly, Jesus Velasco, James Pettitt, Gene G. Olinger, Kevin Whaley, Bianli Xu, James E. Strong, Larry Zeitlin, Gary P. Kobinger

Abstract

Without an approved vaccine or treatments, Ebola outbreak management has been limited to palliative care and barrier methods to prevent transmission. These approaches, however, have yet to end the 2014 outbreak of Ebola after its prolonged presence in West Africa. Here we show that a combination of monoclonal antibodies (ZMapp), optimized from two previous antibody cocktails, is able to rescue 100% of rhesus macaques when treatment is initiated up to 5 days post-challenge. High fever, viraemia and abnormalities in blood count and blood chemistry were evident in many animals before ZMapp intervention. Advanced disease, as indicated by elevated liver enzymes, mucosal haemorrhages and generalized petechia could be reversed, leading to full recovery. ELISA and neutralizing antibody assays indicate that ZMapp is cross-reactive with the Guinean variant of Ebola. ZMapp exceeds the efficacy of any other therapeutics described so far, and results warrant further development of this cocktail for clinical use.

Twitter Demographics

The data shown below were collected from the profiles of 317 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 754 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 2%
United Kingdom 4 <1%
Canada 4 <1%
Switzerland 3 <1%
India 3 <1%
Spain 2 <1%
Germany 2 <1%
Japan 2 <1%
Sweden 1 <1%
Other 11 1%
Unknown 704 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 203 27%
Researcher 133 18%
Student > Ph. D. Student 127 17%
Student > Master 100 13%
Other 50 7%
Other 141 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 281 37%
Medicine and Dentistry 146 19%
Biochemistry, Genetics and Molecular Biology 103 14%
Unspecified 55 7%
Immunology and Microbiology 51 7%
Other 118 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1135. 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 25 September 2018.
All research outputs
#3,097
of 13,647,845 outputs
Outputs from Nature
#519
of 70,303 outputs
Outputs of similar age
#44
of 199,147 outputs
Outputs of similar age from Nature
#14
of 925 outputs
Altmetric has tracked 13,647,845 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 70,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 77.1. 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 199,147 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 925 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.