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Detecting virus integration sites based on multiple related sequencing data by VirTect

Overview of attention for article published in BMC Medical Genomics, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
video
1 YouTube creator

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Detecting virus integration sites based on multiple related sequencing data by VirTect
Published in
BMC Medical Genomics, January 2019
DOI 10.1186/s12920-018-0461-8
Pubmed ID
Authors

Yuchao Xia, Yun Liu, Minghua Deng, Ruibin Xi

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Master 7 16%
Student > Bachelor 5 12%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 4 9%
Other 4 9%
Unknown 9 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 49%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 3 7%
Unspecified 1 2%
Computer Science 1 2%
Other 3 7%
Unknown 9 21%
Attention Score in Context

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 01 December 2022.
All research outputs
#15,093,682
of 23,230,825 outputs
Outputs from BMC Medical Genomics
#618
of 1,245 outputs
Outputs of similar age
#252,383
of 438,310 outputs
Outputs of similar age from BMC Medical Genomics
#24
of 46 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,245 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% 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 438,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.