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ARD-PRED: an in silico tool for predicting age-related-disorder-associated proteins

Overview of attention for article published in Soft Computing, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
7 Mendeley
Title
ARD-PRED: an in silico tool for predicting age-related-disorder-associated proteins
Published in
Soft Computing, March 2018
DOI 10.1007/s00500-018-3154-5
Authors

Kirti Bhadhadhara, Yasha Hasija

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor > Associate Professor 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 March 2018.
All research outputs
#7,804,553
of 23,839,820 outputs
Outputs from Soft Computing
#91
of 465 outputs
Outputs of similar age
#133,329
of 334,448 outputs
Outputs of similar age from Soft Computing
#1
of 16 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 80% 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 334,448 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 59% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.