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SIns: A Novel Insertion Detection Approach Based on Soft-Clipped Reads

Overview of attention for article published in Frontiers in Genetics, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
SIns: A Novel Insertion Detection Approach Based on Soft-Clipped Reads
Published in
Frontiers in Genetics, April 2021
DOI 10.3389/fgene.2021.665812
Pubmed ID
Authors

Chaokun Yan, Junyi He, Junwei Luo, Jianlin Wang, Ge Zhang, Huimin Luo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 63%
Medicine and Dentistry 1 13%
Design 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 November 2023.
All research outputs
#8,368,878
of 25,008,338 outputs
Outputs from Frontiers in Genetics
#2,760
of 13,471 outputs
Outputs of similar age
#171,197
of 433,068 outputs
Outputs of similar age from Frontiers in Genetics
#106
of 520 outputs
Altmetric has tracked 25,008,338 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,471 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 433,068 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 56% of its contemporaries.
We're also able to compare this research output to 520 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.