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PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing

Overview of attention for article published in Genome Biology, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

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8 X users

Citations

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19 Dimensions

Readers on

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59 Mendeley
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Title
PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
Published in
Genome Biology, October 2018
DOI 10.1186/s13059-018-1543-9
Pubmed ID
Authors

Sungsik Kim, Amos Chungwon Lee, Han-Byoel Lee, Jinhyun Kim, Yushin Jung, Han Suk Ryu, Yongju Lee, Sangwook Bae, Minju Lee, Kyungmin Lee, Ryong Nam Kim, Woong-Yang Park, Wonshik Han, Sunghoon Kwon

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 11 19%
Other 4 7%
Student > Postgraduate 4 7%
Professor > Associate Professor 3 5%
Other 8 14%
Unknown 18 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 19%
Agricultural and Biological Sciences 8 14%
Engineering 7 12%
Medicine and Dentistry 4 7%
Immunology and Microbiology 3 5%
Other 6 10%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 May 2020.
All research outputs
#8,190,103
of 25,385,509 outputs
Outputs from Genome Biology
#3,435
of 4,468 outputs
Outputs of similar age
#136,203
of 357,774 outputs
Outputs of similar age from Genome Biology
#73
of 79 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 22nd percentile – i.e., 22% 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 357,774 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 61% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.