↓ Skip to main content

IRESpy: an XGBoost model for prediction of internal ribosome entry sites

Overview of attention for article published in BMC Bioinformatics, July 2019
Altmetric Badge

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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
53 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
IRESpy: an XGBoost model for prediction of internal ribosome entry sites
Published in
BMC Bioinformatics, July 2019
DOI 10.1186/s12859-019-2999-7
Pubmed ID
Authors

Junhui Wang, Michael Gribskov

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Ph. D. Student 9 17%
Researcher 7 13%
Student > Bachelor 5 9%
Student > Doctoral Student 4 8%
Other 3 6%
Unknown 15 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 34%
Agricultural and Biological Sciences 10 19%
Computer Science 4 8%
Medicine and Dentistry 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 18 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 May 2022.
All research outputs
#2,708,363
of 22,562,129 outputs
Outputs from BMC Bioinformatics
#900
of 7,216 outputs
Outputs of similar age
#50,398
of 284,731 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 5 outputs
Altmetric has tracked 22,562,129 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,216 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 done well, scoring higher than 87% 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 284,731 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 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them