Middle East respiratory syndrome coronavirus neutralising serum antibodies in dromedary camels: a comparative serological study

Overview of attention for article published in Lancet Infectious Diseases, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 2,452)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
59 news outlets
blogs
9 blogs
policy
2 policy sources
twitter
278 tweeters
facebook
11 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Readers on

mendeley
142 Mendeley
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Title
Middle East respiratory syndrome coronavirus neutralising serum antibodies in dromedary camels: a comparative serological study
Published in
Lancet Infectious Diseases, January 2013
DOI 10.1016/s1473-3099(13)70164-6
Pubmed ID
Authors

Chantal BEM Reusken, Bart L Haagmans, Marcel A Müller, Carlos Gutierrez, Gert-Jan Godeke, Benjamin Meyer, Doreen Muth, V Stalin Raj, Laura Smits-De Vries, Victor M Corman, Jan-Felix Drexler, Saskia L Smits, Yasmin E El Tahir, Rita De Sousa, Janko van Beek, Norbert Nowotny, Kees van Maanen, Ezequiel Hidalgo-Hermoso, Berend-Jan Bosch, Peter Rottier, Albert Osterhaus, Christian Gortázar-Schmidt, Christian Drosten, Marion PG Koopmans, Reusken CB, Haagmans BL, Müller MA, Gutierrez C, Godeke GJ, Meyer B, Muth D, Raj VS, Vries LS, Corman VM, Drexler JF, Smits SL, El Tahir YE, De Sousa R, van Beek J, Nowotny N, van Maanen K, Hidalgo-Hermoso E, Bosch BJ, Rottier P, Osterhaus A, Gortázar-Schmidt C, Drosten C, Koopmans MP

Abstract

A new betacoronavirus-Middle East respiratory syndrome coronavirus (MERS-CoV)-has been identified in patients with severe acute respiratory infection. Although related viruses infect bats, molecular clock analyses have been unable to identify direct ancestors of MERS-CoV. Anecdotal exposure histories suggest that patients had been in contact with dromedary camels or goats. We investigated possible animal reservoirs of MERS-CoV by assessing specific serum antibodies in livestock.

Twitter Demographics

The data shown below were collected from the profiles of 278 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 3 2%
Costa Rica 1 <1%
Switzerland 1 <1%
Kenya 1 <1%
Turkey 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 129 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 23%
Student > Master 29 20%
Student > Ph. D. Student 21 15%
Student > Bachelor 19 13%
Professor > Associate Professor 12 8%
Other 28 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 53%
Medicine and Dentistry 39 27%
Veterinary Science and Veterinary Medicine 8 6%
Biochemistry, Genetics and Molecular Biology 6 4%
Immunology and Microbiology 6 4%
Other 8 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 807. 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 01 September 2016.
All research outputs
#2,208
of 7,415,771 outputs
Outputs from Lancet Infectious Diseases
#4
of 2,452 outputs
Outputs of similar age
#36
of 125,318 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 37 outputs
Altmetric has tracked 7,415,771 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 2,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. 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 125,318 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 37 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 97% of its contemporaries.