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Empowering individual trait prediction using interactions for precision medicine

Overview of attention for article published in BMC Bioinformatics, February 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

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6 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Empowering individual trait prediction using interactions for precision medicine
Published in
BMC Bioinformatics, February 2021
DOI 10.1186/s12859-021-04011-z
Pubmed ID
Authors

Damian Gola, Inke R. König

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Lecturer 2 5%
Other 5 13%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Computer Science 5 13%
Engineering 2 5%
Unspecified 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 7 18%
Unknown 16 41%
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 23 February 2021.
All research outputs
#14,252,993
of 23,283,373 outputs
Outputs from BMC Bioinformatics
#4,563
of 7,370 outputs
Outputs of similar age
#222,097
of 420,296 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 150 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 34th percentile – i.e., 34% 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 420,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.