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PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions

Overview of attention for article published in Frontiers in immunology, July 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
58 Mendeley
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Title
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01783
Pubmed ID
Authors

Balachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 12%
Researcher 7 12%
Student > Bachelor 6 10%
Student > Master 6 10%
Other 5 9%
Other 9 16%
Unknown 18 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 5 9%
Computer Science 4 7%
Medicine and Dentistry 3 5%
Chemistry 3 5%
Other 9 16%
Unknown 21 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 October 2022.
All research outputs
#6,600,606
of 25,385,509 outputs
Outputs from Frontiers in immunology
#7,075
of 31,537 outputs
Outputs of similar age
#105,126
of 340,738 outputs
Outputs of similar age from Frontiers in immunology
#175
of 638 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 77% 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 340,738 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 68% of its contemporaries.
We're also able to compare this research output to 638 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 72% of its contemporaries.