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Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient

Overview of attention for article published in Genome Medicine, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
134 Mendeley
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Title
Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient
Published in
Genome Medicine, May 2020
DOI 10.1186/s13073-020-00741-6
Pubmed ID
Authors

Hye Won Lee, Woosung Chung, Hae-Ock Lee, Da Eun Jeong, Areum Jo, Joung Eun Lim, Jeong Hee Hong, Do-Hyun Nam, Byong Chang Jeong, Se Hoon Park, Kyeung-Min Joo, Woong-Yang Park

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

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 13%
Researcher 17 13%
Student > Master 17 13%
Student > Bachelor 11 8%
Student > Postgraduate 7 5%
Other 17 13%
Unknown 48 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 26%
Medicine and Dentistry 18 13%
Agricultural and Biological Sciences 9 7%
Immunology and Microbiology 7 5%
Computer Science 3 2%
Other 10 7%
Unknown 52 39%
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 22 July 2020.
All research outputs
#6,931,317
of 23,211,181 outputs
Outputs from Genome Medicine
#1,092
of 1,452 outputs
Outputs of similar age
#146,575
of 395,332 outputs
Outputs of similar age from Genome Medicine
#22
of 27 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 23rd percentile – i.e., 23% 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 395,332 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 62% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.