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Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer

Overview of attention for article published in Genome Medicine, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
25 X users

Citations

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49 Dimensions

Readers on

mendeley
79 Mendeley
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Title
Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00883-1
Pubmed ID
Authors

Akihiro Fujimoto, Jing Hao Wong, Yukiko Yoshii, Shintaro Akiyama, Azusa Tanaka, Hitomi Yagi, Daichi Shigemizu, Hidewaki Nakagawa, Masashi Mizokami, Mihoko Shimada

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Bachelor 10 13%
Student > Ph. D. Student 8 10%
Student > Master 4 5%
Student > Doctoral Student 3 4%
Other 9 11%
Unknown 33 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Agricultural and Biological Sciences 9 11%
Medicine and Dentistry 7 9%
Veterinary Science and Veterinary Medicine 2 3%
Neuroscience 2 3%
Other 6 8%
Unknown 36 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 December 2022.
All research outputs
#2,761,705
of 25,483,400 outputs
Outputs from Genome Medicine
#630
of 1,592 outputs
Outputs of similar age
#69,932
of 454,338 outputs
Outputs of similar age from Genome Medicine
#29
of 56 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 60% 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 454,338 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 84% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.