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Stealth Proteins: In Silico Identification of a Novel Protein Family Rendering Bacterial Pathogens Invisible to Host Immune Defense

Overview of attention for article published in PLoS Computational Biology, November 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Stealth Proteins: In Silico Identification of a Novel Protein Family Rendering Bacterial Pathogens Invisible to Host Immune Defense
Published in
PLoS Computational Biology, November 2005
DOI 10.1371/journal.pcbi.0010063
Pubmed ID
Authors

Peter Sperisen, Christoph D Schmid, Philipp Bucher, Olav Zilian

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 11 19%
Professor 7 12%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 13 23%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 51%
Biochemistry, Genetics and Molecular Biology 9 16%
Computer Science 3 5%
Immunology and Microbiology 2 4%
Medicine and Dentistry 2 4%
Other 8 14%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 August 2022.
All research outputs
#7,994,598
of 25,460,914 outputs
Outputs from PLoS Computational Biology
#5,305
of 8,981 outputs
Outputs of similar age
#39,246
of 158,626 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 19 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 39th percentile – i.e., 39% 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 158,626 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 74% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.