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Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3082-0
Pubmed ID
Authors

Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He

Twitter Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Researcher 3 14%
Student > Postgraduate 2 9%
Student > Bachelor 1 5%
Other 1 5%
Unknown 6 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Computer Science 3 14%
Veterinary Science and Veterinary Medicine 1 5%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 4 18%
Unknown 7 32%

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 08 December 2019.
All research outputs
#9,023,708
of 16,352,227 outputs
Outputs from BMC Bioinformatics
#3,244
of 5,907 outputs
Outputs of similar age
#179,593
of 387,295 outputs
Outputs of similar age from BMC Bioinformatics
#312
of 592 outputs
Altmetric has tracked 16,352,227 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,907 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 41st percentile – i.e., 41% 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 387,295 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 51% of its contemporaries.
We're also able to compare this research output to 592 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.