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Drug repurposing with network reinforcement

Overview of attention for article published in BMC Bioinformatics, July 2019
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1 X user

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98 Mendeley
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Title
Drug repurposing with network reinforcement
Published in
BMC Bioinformatics, July 2019
DOI 10.1186/s12859-019-2858-6
Pubmed ID
Authors

Yonghyun Nam, Myungjun Kim, Hang-Seok Chang, Hyunjung Shin

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

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Ph. D. Student 12 12%
Student > Master 11 11%
Student > Bachelor 9 9%
Other 5 5%
Other 14 14%
Unknown 28 29%
Readers by discipline Count As %
Computer Science 12 12%
Pharmacology, Toxicology and Pharmaceutical Science 12 12%
Medicine and Dentistry 11 11%
Biochemistry, Genetics and Molecular Biology 8 8%
Agricultural and Biological Sciences 5 5%
Other 15 15%
Unknown 35 36%
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 25 July 2019.
All research outputs
#18,686,631
of 23,153,184 outputs
Outputs from BMC Bioinformatics
#6,375
of 7,339 outputs
Outputs of similar age
#258,136
of 346,463 outputs
Outputs of similar age from BMC Bioinformatics
#133
of 148 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 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 5th percentile – i.e., 5% 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 346,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.