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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

Overview of attention for article published in Cellular Oncology (2211-3428), March 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 188)
  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
Published in
Cellular Oncology (2211-3428), March 2019
DOI 10.1007/s13402-019-00429-z
Pubmed ID
Authors

Oscar G. F. Geessink, Alexi Baidoshvili, Joost M. Klaase, Babak Ehteshami Bejnordi, Geert J. S. Litjens, Gabi W. van Pelt, Wilma E. Mesker, Iris D. Nagtegaal, Francesco Ciompi, Jeroen A. W. M. van der Laak

Twitter Demographics

The data shown below were collected from the profiles of 6 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Other 3 9%
Student > Bachelor 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Engineering 4 13%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 4 13%
Agricultural and Biological Sciences 2 6%
Other 4 13%
Unknown 8 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 March 2019.
All research outputs
#7,330,630
of 14,443,874 outputs
Outputs from Cellular Oncology (2211-3428)
#32
of 188 outputs
Outputs of similar age
#111,166
of 264,476 outputs
Outputs of similar age from Cellular Oncology (2211-3428)
#1
of 10 outputs
Altmetric has tracked 14,443,874 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 82% 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 264,476 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 10 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