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Pre-treatment patient selection for nivolumab benefit based on serum mass spectra

Overview of attention for article published in Journal for Immunotherapy of Cancer, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Pre-treatment patient selection for nivolumab benefit based on serum mass spectra
Published in
Journal for Immunotherapy of Cancer, January 2015
DOI 10.1186/2051-1426-3-s2-p103
Authors

Jeffrey Weber, Alberto J Martinez, Heinrich Roder, Joanna Roder, Krista Meyer, Senait Asmellash, Julia Grigorieva, Maxim Tsypin, Carlos Oliveira, Arni Steingrimsson, Kevin Sayers, Antonella Bacchiocchi, Mario Sznol, Ruth Halaban, Harriet Kluger

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 %
Researcher 4 57%
Student > Ph. D. Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Medicine and Dentistry 2 29%
Chemistry 1 14%
Unknown 2 29%

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 09 December 2020.
All research outputs
#5,831,238
of 17,896,489 outputs
Outputs from Journal for Immunotherapy of Cancer
#1,037
of 1,833 outputs
Outputs of similar age
#137,115
of 342,392 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#82
of 149 outputs
Altmetric has tracked 17,896,489 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 38th percentile – i.e., 38% 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 342,392 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 58% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.