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A genetically defined disease model reveals that urothelial cells can initiate divergent bladder cancer phenotypes

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, December 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
10 news outlets
twitter
11 X users
guideline
1 clinical guideline source

Readers on

mendeley
44 Mendeley
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Article details
Title
A genetically defined disease model reveals that urothelial cells can initiate divergent bladder cancer phenotypes
Published in
Proceedings of the National Academy of Sciences of the United States of America, December 2019
DOI 10.1073/pnas.1915770117
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 16%
Researcher 7 16%
Other 3 7%
Student > Bachelor 3 7%
Student > Ph. D. Student 3 7%
Other 8 18%
Unknown 13 30%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 27%
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 3 7%
Engineering 2 5%
Environmental Science 1 2%
Other 2 5%
Unknown 15 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 17 June 2021.
All research outputs
#686,287
of 34,575,175 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#10,773
of 119,209 outputs
Outputs of similar age
#13,166
of 524,923 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#190
of 922 outputs
Altmetric has tracked 34,575,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has done particularly well, scoring higher than 90% 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 524,923 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 922 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.