↓ Skip to main content

ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

Overview of attention for article published in Frontiers in Genetics, June 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
21 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
ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation
Published in
Frontiers in Genetics, June 2021
DOI 10.3389/fgene.2021.698477
Pubmed ID
Authors

Xian-gan Chen, Wen Zhang, Xiaofei Yang, Chenhong Li, Hengling Chen

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 10%
Unspecified 1 5%
Student > Bachelor 1 5%
Other 1 5%
Other 2 10%
Unknown 11 52%
Readers by discipline Count As %
Computer Science 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 1 5%
Unspecified 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 12 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2021.
All research outputs
#18,345,702
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#6,355
of 12,603 outputs
Outputs of similar age
#301,008
of 443,798 outputs
Outputs of similar age from Frontiers in Genetics
#293
of 745 outputs
Altmetric has tracked 23,577,761 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 12,603 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 443,798 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 745 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 52% of its contemporaries.