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Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy

Overview of attention for article published in Journal for Immunotherapy of Cancer, May 2017
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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11 news outlets
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30 X users
patent
6 patents

Citations

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190 Dimensions

Readers on

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281 Mendeley
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Title
Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy
Published in
Journal for Immunotherapy of Cancer, May 2017
DOI 10.1186/s40425-017-0243-4
Pubmed ID
Authors

Sacha Gnjatic, Vincenzo Bronte, Laura Rosa Brunet, Marcus O. Butler, Mary L. Disis, Jérôme Galon, Leif G. Hakansson, Brent A. Hanks, Vaios Karanikas, Samir N. Khleif, John M. Kirkwood, Lance D. Miller, Dolores J. Schendel, Isabelle Tanneau, Jon M. Wigginton, Lisa H. Butterfield

Abstract

As cancer strikes, individuals vary not only in terms of factors that contribute to its occurrence and development, but as importantly, in their capacity to respond to treatment. While exciting new therapeutic options that mobilize the immune system against cancer have led to breakthroughs for a variety of malignancies, success is limited to a subset of patients. Pre-existing immunological features of both the host and the tumor may contribute to how patients will eventually fare with immunotherapy. A broad understanding of baseline immunity, both in the periphery and in the tumor microenvironment, is needed in order to fully realize the potential of cancer immunotherapy. Such interrogation of the tumor, blood, and host immune parameters prior to treatment is expected to identify biomarkers predictive of clinical outcome as well as to elucidate why some patients fail to respond to immunotherapy. To approach these opportunities for progress, the Society for Immunotherapy of Cancer (SITC) reconvened the Immune Biomarkers Task Force. Comprised of an international multidisciplinary panel of experts, Working Group 4 sought to make recommendations that focus on the complexity of the tumor microenvironment, with its diversity of immune genes, proteins, cells, and pathways naturally present at baseline and in circulation, and novel tools to aid in such broad analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 <1%
Unknown 280 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 25%
Student > Ph. D. Student 46 16%
Other 28 10%
Student > Bachelor 24 9%
Student > Master 22 8%
Other 35 12%
Unknown 56 20%
Readers by discipline Count As %
Medicine and Dentistry 52 19%
Biochemistry, Genetics and Molecular Biology 49 17%
Agricultural and Biological Sciences 35 12%
Immunology and Microbiology 33 12%
Engineering 11 4%
Other 28 10%
Unknown 73 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 17 January 2024.
All research outputs
#391,758
of 25,734,859 outputs
Outputs from Journal for Immunotherapy of Cancer
#83
of 3,498 outputs
Outputs of similar age
#8,021
of 326,163 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#2
of 22 outputs
Altmetric has tracked 25,734,859 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 3,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 97% 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 326,163 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 97% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.