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INDELseek: detection of complex insertions and deletions from next-generation sequencing data

Overview of attention for article published in BMC Genomics, January 2017
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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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
68 Mendeley

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Summary Blogs Twitter Dimensions citations
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Title
INDELseek: detection of complex insertions and deletions from next-generation sequencing data
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3449-9
Pubmed ID
28056804
Authors

Chun Hang Au, Anskar Y. H. Leung, Ava Kwong, Tsun Leung Chan, Edmond S. K. Ma

View on publisher site

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

Geographical breakdown

Country Count As %
China 1 1%
France 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 10 15%
Student > Bachelor 9 13%
Other 8 12%
Student > Master 7 10%
Other 7 10%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 31%
Biochemistry, Genetics and Molecular Biology 18 26%
Medicine and Dentistry 4 6%
Computer Science 4 6%
Social Sciences 2 3%
Other 3 4%
Unknown 16 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 June 2019.
All research outputs
#2,980,061
of 17,370,809 outputs
Outputs from BMC Genomics
#1,385
of 9,283 outputs
Outputs of similar age
#68,678
of 287,608 outputs
Outputs of similar age from BMC Genomics
#3
of 14 outputs
Altmetric has tracked 17,370,809 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,283 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 85% of its peers.
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 287,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.

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