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Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides

Overview of attention for article published in Frontiers in Genetics, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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19 Mendeley
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Title
Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides
Published in
Frontiers in Genetics, April 2022
DOI 10.3389/fgene.2022.883766
Pubmed ID
Authors

Supatcha Lertampaiporn, Apiradee Hongsthong, Warin Wattanapornprom, Chinae Thammarongtham

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Unspecified 1 5%
Researcher 1 5%
Student > Master 1 5%
Unknown 13 68%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 16%
Nursing and Health Professions 2 11%
Unspecified 1 5%
Business, Management and Accounting 1 5%
Design 1 5%
Other 0 0%
Unknown 11 58%
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 28 April 2022.
All research outputs
#18,412,696
of 23,642,687 outputs
Outputs from Frontiers in Genetics
#6,364
of 12,620 outputs
Outputs of similar age
#299,945
of 444,683 outputs
Outputs of similar age from Frontiers in Genetics
#367
of 924 outputs
Altmetric has tracked 23,642,687 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,620 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% 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 444,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 924 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 53% of its contemporaries.