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Inferring phenotypes from substance use via collaborative matrix completion

Overview of attention for article published in BMC Systems Biology, November 2018
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
7 Mendeley
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Title
Inferring phenotypes from substance use via collaborative matrix completion
Published in
BMC Systems Biology, November 2018
DOI 10.1186/s12918-018-0623-5
Authors

Jin Lu, Jiangwen Sun, Xinyu Wang, Henry Kranzler, Joel Gelernter, Jinbo Bi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 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 %
Researcher 1 14%
Other 1 14%
Unknown 5 71%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%

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 23 November 2018.
All research outputs
#12,304,659
of 13,906,652 outputs
Outputs from BMC Systems Biology
#952
of 1,089 outputs
Outputs of similar age
#312,615
of 366,387 outputs
Outputs of similar age from BMC Systems Biology
#71
of 91 outputs
Altmetric has tracked 13,906,652 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 1,089 research outputs from this source. They receive a mean Attention Score of 3.4. 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 366,387 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.