↓ Skip to main content

Prediction of glycosylation sites using random forests

Overview of attention for article published in BMC Bioinformatics, November 2008
Altmetric Badge

Mentioned by

patent
1 patent

Readers on

mendeley
183 Mendeley
citeulike
2 CiteULike
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
Prediction of glycosylation sites using random forests
Published in
BMC Bioinformatics, November 2008
DOI 10.1186/1471-2105-9-500
Pubmed ID
Authors

Stephen E Hamby, Jonathan D Hirst

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 2%
United States 2 1%
Australia 1 <1%
Germany 1 <1%
Argentina 1 <1%
Turkey 1 <1%
Unknown 174 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 27%
Researcher 27 15%
Student > Master 20 11%
Student > Bachelor 14 8%
Student > Doctoral Student 10 5%
Other 29 16%
Unknown 33 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 28%
Biochemistry, Genetics and Molecular Biology 46 25%
Computer Science 12 7%
Chemistry 9 5%
Engineering 7 4%
Other 19 10%
Unknown 38 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 April 2022.
All research outputs
#7,737,238
of 23,530,272 outputs
Outputs from BMC Bioinformatics
#3,084
of 7,410 outputs
Outputs of similar age
#48,386
of 167,935 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 46 outputs
Altmetric has tracked 23,530,272 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 167,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.