↓ Skip to main content

Marburg- and Ebolaviruses

Overview of attention for book
Attention for Chapter 13: Filovirus Strategies to Escape Antiviral Responses
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
29 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.
Chapter title
Filovirus Strategies to Escape Antiviral Responses
Chapter number 13
Book title
Current Topics in Microbiology and Immunology
Published in
Current topics in microbiology and immunology, July 2017
DOI 10.1007/82_2017_13
Pubmed ID
Book ISBNs
978-3-31-968946-3, 978-3-31-968948-7
Authors

Olejnik, Judith, Hume, Adam J, Leung, Daisy W, Amarasinghe, Gaya K, Basler, Christopher F, Mühlberger, Elke, Judith Olejnik, Adam J. Hume, Daisy W. Leung, Gaya K. Amarasinghe, Christopher F. Basler, Elke Mühlberger, Hume, Adam J., Leung, Daisy W., Amarasinghe, Gaya K., Basler, Christopher F.

Abstract

This chapter describes the various strategies filoviruses use to escape host immune responses with a focus on innate immune and cell death pathways. Since filovirus replication can be efficiently blocked by interferon (IFN), filoviruses have evolved mechanisms to counteract both type I IFN induction and IFN response signaling pathways. Intriguingly, marburg- and ebolaviruses use different strategies to inhibit IFN signaling. This chapter also summarizes what is known about the role of IFN-stimulated genes (ISGs) in filovirus infection. These fall into three categories: those that restrict filovirus replication, those whose activation is inhibited by filoviruses, and those that have no measurable effect on viral replication. In addition to innate immunity, mammalian cells have evolved strategies to counter viral infections, including the induction of cell death and stress response pathways, and we summarize our current knowledge of how filoviruses interact with these pathways. Finally, this chapter delves into the interaction of EBOV with myeloid dendritic cells and macrophages and the associated inflammatory response, which differs dramatically between these cell types when they are infected with EBOV. In summary, we highlight the multifaceted nature of the host-viral interactions during filoviral infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Bachelor 3 10%
Student > Master 3 10%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 10 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 5 17%
Agricultural and Biological Sciences 4 14%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 11 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 May 2019.
All research outputs
#14,945,096
of 22,986,950 outputs
Outputs from Current topics in microbiology and immunology
#418
of 678 outputs
Outputs of similar age
#186,185
of 312,623 outputs
Outputs of similar age from Current topics in microbiology and immunology
#8
of 13 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 678 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 312,623 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.