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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
55 X users
f1000
1 research highlight platform

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
237 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 237 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 24%
Researcher 33 14%
Student > Bachelor 23 10%
Student > Master 16 7%
Student > Doctoral Student 13 5%
Other 25 11%
Unknown 71 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 28%
Agricultural and Biological Sciences 33 14%
Medicine and Dentistry 15 6%
Engineering 11 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Other 23 10%
Unknown 82 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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
#1,050,868
of 24,653,581 outputs
Outputs from Genome Medicine
#211
of 1,518 outputs
Outputs of similar age
#25,421
of 446,944 outputs
Outputs of similar age from Genome Medicine
#3
of 19 outputs
Altmetric has tracked 24,653,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 86% 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 446,944 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 94% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.