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Coronavirus Spike Protein and Tropism Changes

Overview of attention for chapter in “Coronaviruses”
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 228)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

2 blogs
4 tweeters
1 Redditor


99 Dimensions

Readers on

280 Mendeley
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Chapter title
Coronavirus Spike Protein and Tropism Changes
Book title
Published in
Advances in Virus Research, January 2016
DOI 10.1016/bs.aivir.2016.08.004
Pubmed ID
Book ISBNs

R.J.G. Hulswit, C.A.M. de Haan, B.-J. Bosch, B-J Bosch


Coronaviruses (CoVs) have a remarkable potential to change tropism. This is particularly illustrated over the last 15 years by the emergence of two zoonotic CoVs, the severe acute respiratory syndrome (SARS)- and Middle East respiratory syndrome (MERS)-CoV. Due to their inherent genetic variability, it is inevitable that new cross-species transmission events of these enveloped, positive-stranded RNA viruses will occur. Research into these medical and veterinary important pathogens-sparked by the SARS and MERS outbreaks-revealed important principles of inter- and intraspecies tropism changes. The primary determinant of CoV tropism is the viral spike (S) entry protein. Trimers of the S glycoproteins on the virion surface accommodate binding to a cell surface receptor and fusion of the viral and cellular membrane. Recently, high-resolution structures of two CoV S proteins have been elucidated by single-particle cryo-electron microscopy. Using this new structural insight, we review the changes in the S protein that relate to changes in virus tropism. Different concepts underlie these tropism changes at the cellular, tissue, and host species level, including the promiscuity or adaptability of S proteins to orthologous receptors, alterations in the proteolytic cleavage activation as well as changes in the S protein metastability. A thorough understanding of the key role of the S protein in CoV entry is critical to further our understanding of virus cross-species transmission and pathogenesis and for development of intervention strategies.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 280 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 17%
Student > Master 39 14%
Student > Bachelor 37 13%
Student > Ph. D. Student 37 13%
Student > Doctoral Student 15 5%
Other 45 16%
Unknown 60 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 23%
Agricultural and Biological Sciences 38 14%
Medicine and Dentistry 26 9%
Immunology and Microbiology 25 9%
Veterinary Science and Veterinary Medicine 15 5%
Other 51 18%
Unknown 61 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 18 July 2020.
All research outputs
of 16,033,714 outputs
Outputs from Advances in Virus Research
of 228 outputs
Outputs of similar age
of 270,367 outputs
Outputs of similar age from Advances in Virus Research
of 1 outputs
Altmetric has tracked 16,033,714 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 87% 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 270,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them