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Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care

Overview of attention for article published in JAMA Oncology, January 2020
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
2 news outlets
twitter
217 X users
patent
1 patent
facebook
4 Facebook pages

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
149 Mendeley
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Title
Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care
Published in
JAMA Oncology, January 2020
DOI 10.1001/jamaoncol.2019.3985
Pubmed ID
Authors

Alexander Penson, Niedzica Camacho, Youyun Zheng, Anna M. Varghese, Hikmat Al-Ahmadie, Pedram Razavi, Sarat Chandarlapaty, Christina E. Vallejo, Efsevia Vakiani, Teresa Gilewski, Jonathan E. Rosenberg, Maha Shady, Dana W. Y. Tsui, Dalicia N. Reales, Adam Abeshouse, Aijazuddin Syed, Ahmet Zehir, Nikolaus Schultz, Marc Ladanyi, David B. Solit, David S. Klimstra, David M. Hyman, Barry S. Taylor, Michael F. Berger

X Demographics

X Demographics

The data shown below were collected from the profiles of 217 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 17%
Student > Ph. D. Student 20 13%
Student > Bachelor 16 11%
Student > Master 8 5%
Other 8 5%
Other 24 16%
Unknown 48 32%
Readers by discipline Count As %
Medicine and Dentistry 30 20%
Biochemistry, Genetics and Molecular Biology 20 13%
Agricultural and Biological Sciences 10 7%
Computer Science 9 6%
Engineering 6 4%
Other 18 12%
Unknown 56 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 142. 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 01 March 2024.
All research outputs
#295,406
of 25,998,826 outputs
Outputs from JAMA Oncology
#483
of 3,346 outputs
Outputs of similar age
#7,283
of 482,658 outputs
Outputs of similar age from JAMA Oncology
#12
of 87 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 84.3. This one has done well, scoring higher than 85% 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 482,658 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 98% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.