↓ Skip to main content

In silico analysis suggests interaction between Ebola virus and the extracellular matrix

Overview of attention for article published in Frontiers in Microbiology, February 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
63 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.
Title
In silico analysis suggests interaction between Ebola virus and the extracellular matrix
Published in
Frontiers in Microbiology, February 2015
DOI 10.3389/fmicb.2015.00135
Pubmed ID
Authors

Veljko Veljkovic, Sanja Glisic, Claude P. Muller, Matthew Scotch, Donald R. Branch, Vladimir R. Perovic, Milan Sencanski, Nevena Veljkovic, Alfonso Colombatti

Abstract

The worst Ebola virus (EV) outbreak in history has hit Liberia, Sierra Leone and Guinea hardest and the trend lines in this crisis are grave, and now represents a global public health threat concern. Limited therapeutic and/or prophylactic options are available for people suffering from Ebola virus disease (EVD) and further complicate the situation. Previous studies suggested that the EV glycoprotein (GP) is the main determinant causing structural damage of endothelial cells that triggers the hemorrhagic diathesis, but molecular mechanisms underlying this phenomenon remains elusive. Using the informational spectrum method (ISM), a virtual spectroscopy method for analysis of the protein-protein interactions, the interaction of GP with endothelial extracellular matrix (ECM) was investigated. Presented results of this in silico study suggest that Elastin Microfibril Interface Located Proteins (EMILINs) are involved in interaction between GP and ECM. This finding could contribute to a better understanding of EV/endothelium interaction and its role in pathogenesis, prevention and therapy of EVD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
India 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Bachelor 10 16%
Student > Master 8 13%
Student > Ph. D. Student 6 10%
Other 5 8%
Other 13 21%
Unknown 9 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 21%
Agricultural and Biological Sciences 13 21%
Medicine and Dentistry 11 17%
Nursing and Health Professions 3 5%
Immunology and Microbiology 3 5%
Other 9 14%
Unknown 11 17%
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 21 May 2018.
All research outputs
#13,429,348
of 22,794,367 outputs
Outputs from Frontiers in Microbiology
#10,512
of 24,732 outputs
Outputs of similar age
#122,768
of 255,123 outputs
Outputs of similar age from Frontiers in Microbiology
#134
of 302 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,732 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 54% 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 255,123 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 50% of its contemporaries.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.