↓ Skip to main content

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features

Overview of attention for article published in BMC Bioinformatics, December 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
36 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
Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Published in
BMC Bioinformatics, December 2016
DOI 10.1186/s12859-016-1337-6
Pubmed ID
Authors

Onkar Singh, Emily Chia-Yu Su

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 28%
Student > Master 7 19%
Researcher 4 11%
Student > Ph. D. Student 3 8%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 9 25%
Readers by discipline Count As %
Engineering 7 19%
Biochemistry, Genetics and Molecular Biology 7 19%
Medicine and Dentistry 4 11%
Computer Science 3 8%
Agricultural and Biological Sciences 1 3%
Other 4 11%
Unknown 10 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 February 2024.
All research outputs
#20,594,958
of 25,305,422 outputs
Outputs from BMC Bioinformatics
#6,669
of 7,672 outputs
Outputs of similar age
#324,889
of 433,339 outputs
Outputs of similar age from BMC Bioinformatics
#95
of 135 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 433,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.