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Recasting the cancer stem cell hypothesis: unification using a continuum model of microenvironmental forces

Overview of attention for article published in bioRxiv, July 2017
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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)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
44 X users
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Recasting the cancer stem cell hypothesis: unification using a continuum model of microenvironmental forces
Published in
bioRxiv, July 2017
DOI 10.1101/169615
Authors

Jacob G. Scott, Andrew Dhawan, Anita Hjelmeland, Justin Lathia, Anastasia Chumakova, Masahiro Hitomi, Alexander G. Fletcher, Philip K. Maini, Alexander R. A. Anderson

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Researcher 3 14%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 2 10%
Student > Doctoral Student 2 10%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 6 29%
Biochemistry, Genetics and Molecular Biology 4 19%
Mathematics 3 14%
Immunology and Microbiology 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 10%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 July 2018.
All research outputs
#1,140,374
of 25,515,042 outputs
Outputs from bioRxiv
#305
of 3,812 outputs
Outputs of similar age
#22,793
of 327,083 outputs
Outputs of similar age from bioRxiv
#26
of 377 outputs
Altmetric has tracked 25,515,042 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 3,812 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done particularly well, scoring higher than 92% 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 327,083 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 377 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.