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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 tweeter
video
1 video uploader

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
35 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 6 17%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 4 11%
Student > Bachelor 3 9%
Other 2 6%
Unknown 6 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 54%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 2 6%
Arts and Humanities 1 3%
Decision Sciences 1 3%
Other 1 3%
Unknown 6 17%

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
#14,801,174
of 22,789,076 outputs
Outputs from BMC Medical Genomics
#607
of 1,223 outputs
Outputs of similar age
#249,870
of 435,678 outputs
Outputs of similar age from BMC Medical Genomics
#23
of 46 outputs
Altmetric has tracked 22,789,076 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 1,223 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 435,678 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 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.