↓ Skip to main content

VAPiD: a lightweight cross-platform viral annotation pipeline and identification tool to facilitate virus genome submissions to NCBI GenBank

Overview of attention for article published in BMC Bioinformatics, January 2019
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
90 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
VAPiD: a lightweight cross-platform viral annotation pipeline and identification tool to facilitate virus genome submissions to NCBI GenBank
Published in
BMC Bioinformatics, January 2019
DOI 10.1186/s12859-019-2606-y
Pubmed ID
Authors

Ryan C. Shean, Negar Makhsous, Graham D. Stoddard, Michelle J. Lin, Alexander L. Greninger

Twitter Demographics

The data shown below were collected from the profiles of 4 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 22%
Researcher 18 20%
Student > Bachelor 12 13%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 5 6%
Other 9 10%
Unknown 17 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 23%
Agricultural and Biological Sciences 15 17%
Medicine and Dentistry 9 10%
Immunology and Microbiology 7 8%
Veterinary Science and Veterinary Medicine 2 2%
Other 12 13%
Unknown 24 27%

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 20 March 2020.
All research outputs
#9,762,809
of 17,371,891 outputs
Outputs from BMC Bioinformatics
#3,425
of 6,153 outputs
Outputs of similar age
#159,195
of 344,117 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 41 outputs
Altmetric has tracked 17,371,891 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 344,117 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 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.