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In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences

Overview of attention for article published in PLOS ONE, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
2 X users
patent
3 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
168 Mendeley
citeulike
1 CiteULike
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Title
In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0067008
Pubmed ID
Authors

Jagat Singh Chauhan, Alka Rao, Gajendra P. S. Raghava

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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Italy 1 <1%
South Africa 1 <1%
Israel 1 <1%
Finland 1 <1%
India 1 <1%
Unknown 162 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 18%
Researcher 25 15%
Student > Master 24 14%
Student > Bachelor 18 11%
Student > Doctoral Student 10 6%
Other 29 17%
Unknown 32 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 35%
Biochemistry, Genetics and Molecular Biology 40 24%
Engineering 6 4%
Immunology and Microbiology 5 3%
Medicine and Dentistry 5 3%
Other 12 7%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 August 2023.
All research outputs
#4,894,961
of 26,017,215 outputs
Outputs from PLOS ONE
#84,645
of 225,486 outputs
Outputs of similar age
#39,150
of 211,834 outputs
Outputs of similar age from PLOS ONE
#1,236
of 4,858 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 62% 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 211,834 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 80% of its contemporaries.
We're also able to compare this research output to 4,858 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 74% of its contemporaries.