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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 tweeters

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
105 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

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Student > Master 14 13%
Researcher 12 11%
Student > Bachelor 11 10%
Student > Postgraduate 6 6%
Other 15 14%
Unknown 31 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 30%
Medicine and Dentistry 13 12%
Agricultural and Biological Sciences 8 8%
Immunology and Microbiology 6 6%
Unspecified 3 3%
Other 10 10%
Unknown 34 32%

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
#5,440,383
of 18,336,925 outputs
Outputs from Genome Medicine
#902
of 1,222 outputs
Outputs of similar age
#110,926
of 297,856 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 18,336,925 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 25th percentile – i.e., 25% 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 297,856 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them