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All models are wrong, but some organoids may be useful

Overview of attention for article published in Genome Biology, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
96 Mendeley
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Title
All models are wrong, but some organoids may be useful
Published in
Genome Biology, March 2019
DOI 10.1186/s13059-019-1677-4
Pubmed ID
Authors

Benjamin E. Mead, Jeffrey M. Karp

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Bachelor 15 16%
Researcher 13 14%
Student > Master 10 10%
Student > Doctoral Student 4 4%
Other 13 14%
Unknown 21 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 25%
Agricultural and Biological Sciences 13 14%
Medicine and Dentistry 7 7%
Engineering 7 7%
Chemical Engineering 5 5%
Other 13 14%
Unknown 27 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 12 March 2020.
All research outputs
#2,489,321
of 25,552,933 outputs
Outputs from Genome Biology
#2,013
of 4,489 outputs
Outputs of similar age
#54,206
of 365,377 outputs
Outputs of similar age from Genome Biology
#43
of 59 outputs
Altmetric has tracked 25,552,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 55% 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 365,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.