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AntAngioCOOL: computational detection of anti-angiogenic peptides

Overview of attention for article published in Journal of Translational Medicine, March 2019
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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31 Mendeley
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Title
AntAngioCOOL: computational detection of anti-angiogenic peptides
Published in
Journal of Translational Medicine, March 2019
DOI 10.1186/s12967-019-1813-7
Pubmed ID
Authors

Javad Zahiri, Babak Khorsand, Ali Akbar Yousefi, Mohammadjavad Kargar, Ramin Shirali Hossein Zade, Ghasem Mahdevar

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Master 5 16%
Professor > Associate Professor 2 6%
Student > Bachelor 2 6%
Professor 1 3%
Other 3 10%
Unknown 13 42%
Readers by discipline Count As %
Computer Science 5 16%
Biochemistry, Genetics and Molecular Biology 3 10%
Medicine and Dentistry 2 6%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Other 3 10%
Unknown 15 48%
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 06 March 2019.
All research outputs
#20,557,521
of 23,132,033 outputs
Outputs from Journal of Translational Medicine
#3,366
of 4,064 outputs
Outputs of similar age
#304,376
of 353,449 outputs
Outputs of similar age from Journal of Translational Medicine
#57
of 91 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 353,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.