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Stratifying esophago-gastric cancer treatment using a patient-derived organoid-based threshold

Overview of attention for article published in Molecular Cancer, January 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Stratifying esophago-gastric cancer treatment using a patient-derived organoid-based threshold
Published in
Molecular Cancer, January 2024
DOI 10.1186/s12943-023-01919-3
Pubmed ID
Authors

Tim Schmäche, Juliane Fohgrub, Anna Klimova, Karin Laaber, Stephan Drukewitz, Felix Merboth, Alexander Hennig, Therese Seidlitz, Friederike Herbst, Franziska Baenke, Anne-Marlen Ada, Thomas Groß, Carina Wenzel, Claudia R. Ball, Christian Praetorius, Thomas Schmidt, Barbara Ringelband-Schilling, Ronald Koschny, Albrecht Stenzinger, Ingo Roeder, Dirk Jaeger, Sebastian Zeissig, Thilo Welsch, Daniela Aust, Hanno Glimm, Gunnar Folprecht, Jürgen Weitz, Georg M. Haag, Daniel E. Stange

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Researcher 2 29%
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Agricultural and Biological Sciences 2 29%
Veterinary Science and Veterinary Medicine 1 14%
Medicine and Dentistry 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 January 2024.
All research outputs
#15,062,264
of 25,218,929 outputs
Outputs from Molecular Cancer
#984
of 1,899 outputs
Outputs of similar age
#82,128
of 211,934 outputs
Outputs of similar age from Molecular Cancer
#8
of 18 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,899 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 211,934 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 59% of its contemporaries.
We're also able to compare this research output to 18 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.