Title |
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
|
---|---|
Published in |
Cellular Oncology, 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 |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 33% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 16% |
Researcher | 16 | 15% |
Student > Master | 10 | 10% |
Other | 9 | 9% |
Student > Bachelor | 6 | 6% |
Other | 16 | 15% |
Unknown | 30 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 22% |
Biochemistry, Genetics and Molecular Biology | 10 | 10% |
Computer Science | 10 | 10% |
Engineering | 8 | 8% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 12 | 12% |
Unknown | 38 | 37% |
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
#13,536,376
of 23,999,200 outputs
Outputs from Cellular Oncology
#104
of 426 outputs
Outputs of similar age
#168,532
of 357,655 outputs
Outputs of similar age from Cellular Oncology
#5
of 13 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 75% 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 357,655 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 52% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.