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Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics

Overview of attention for article published in BMC Biology, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics
Published in
BMC Biology, January 2021
DOI 10.1186/s12915-020-00938-6
Pubmed ID
Authors

Congyu Lu, Zheng Zhang, Zena Cai, Zhaozhong Zhu, Ye Qiu, Aiping Wu, Taijiao Jiang, Heping Zheng, Yousong Peng

Twitter Demographics

The data shown below were collected from the profiles of 16 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 7 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 35%
Computer Science 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Engineering 1 6%
Unknown 7 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2021.
All research outputs
#3,675,339
of 18,240,594 outputs
Outputs from BMC Biology
#886
of 1,571 outputs
Outputs of similar age
#119,057
of 419,032 outputs
Outputs of similar age from BMC Biology
#114
of 195 outputs
Altmetric has tracked 18,240,594 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,571 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one is in the 43rd percentile – i.e., 43% 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 419,032 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 71% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.