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The cancer proteomic landscape and the HUPO Cancer Proteome Project

Overview of attention for article published in Clinical Proteomics, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 308)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
35 Mendeley
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Title
The cancer proteomic landscape and the HUPO Cancer Proteome Project
Published in
Clinical Proteomics, January 2018
DOI 10.1186/s12014-018-9180-6
Pubmed ID
Authors

Connie R. Jimenez, Hui Zhang, Christopher R. Kinsinger, Edouard C. Nice

Abstract

The Human Cancer Proteome Project (Cancer-HPP) is an international initiative organized by HUPO whose key objective is to decipher the human cancer proteome through a coordinated effort by cancer proteome researchers around the world. The ultimate goal is to map the entire human cancer proteome to disclose tumor biology and drive improved diagnostics, treatment and management of cancer. Here we report the progress in the cancer proteomics field to date, and discuss future proteomic developments that will be needed to optimally delineate cancer phenotypes and advance the molecular characterization of this significant disease that is one of the leading causes of death worldwide.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 7 20%
Student > Bachelor 5 14%
Student > Master 4 11%
Student > Doctoral Student 1 3%
Other 5 14%
Unknown 3 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 34%
Agricultural and Biological Sciences 8 23%
Engineering 3 9%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 10 September 2018.
All research outputs
#2,331,173
of 24,484,013 outputs
Outputs from Clinical Proteomics
#18
of 308 outputs
Outputs of similar age
#53,946
of 450,209 outputs
Outputs of similar age from Clinical Proteomics
#4
of 9 outputs
Altmetric has tracked 24,484,013 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 94% 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 450,209 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.