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Single-cell analysis reveals congruence between kidney organoids and human fetal kidney

Overview of attention for article published in Genome Medicine, January 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 (93rd percentile)

Mentioned by

blogs
1 blog
twitter
57 tweeters
f1000
1 research highlight platform

Readers on

mendeley
113 Mendeley
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Title
Single-cell analysis reveals congruence between kidney organoids and human fetal kidney
Published in
Genome Medicine, January 2019
DOI 10.1186/s13073-019-0615-0
Pubmed ID
Authors

Alexander N. Combes, Luke Zappia, Pei Xuan Er, Alicia Oshlack, Melissa H. Little

Twitter Demographics

The data shown below were collected from the profiles of 57 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 28%
Researcher 20 18%
Student > Bachelor 10 9%
Student > Master 9 8%
Student > Doctoral Student 8 7%
Other 11 10%
Unknown 23 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 33%
Agricultural and Biological Sciences 20 18%
Medicine and Dentistry 9 8%
Engineering 6 5%
Immunology and Microbiology 3 3%
Other 12 11%
Unknown 26 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 11 November 2019.
All research outputs
#583,396
of 14,990,969 outputs
Outputs from Genome Medicine
#131
of 1,035 outputs
Outputs of similar age
#20,326
of 327,781 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 14,990,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done well, scoring higher than 87% 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 327,781 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 93% 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