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Pair Matcher (PaM): fast model-based optimization of treatment/case-control matches

Overview of attention for article published in Bioinformatics, November 2018
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Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
Title
Pair Matcher (PaM): fast model-based optimization of treatment/case-control matches
Published in
Bioinformatics, November 2018
DOI 10.1093/bioinformatics/bty946
Authors

Eran Elhaik, Desmond M Ryan

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Unspecified 2 40%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 60%
Unspecified 2 40%

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 17 November 2018.
All research outputs
#8,229,845
of 13,127,591 outputs
Outputs from Bioinformatics
#6,999
of 8,647 outputs
Outputs of similar age
#152,505
of 250,075 outputs
Outputs of similar age from Bioinformatics
#84
of 113 outputs
Altmetric has tracked 13,127,591 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,647 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 13th percentile – i.e., 13% 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 250,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.