↓ Skip to main content

Workshop on challenges, insights, and future directions for mouse and humanized models in cancer immunology and immunotherapy: a report from the associated programs of the 2016 annual meeting for the…

Overview of attention for article published in Journal for Immunotherapy of Cancer, September 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Workshop on challenges, insights, and future directions for mouse and humanized models in cancer immunology and immunotherapy: a report from the associated programs of the 2016 annual meeting for the Society for Immunotherapy of cancer
Published in
Journal for Immunotherapy of Cancer, September 2017
DOI 10.1186/s40425-017-0278-6
Pubmed ID
Authors

Andrew Zloza, A. Karolina Palucka, Lisa M. Coussens, Philip J. Gotwals, Mark B. Headley, Elizabeth M. Jaffee, Amanda W. Lund, Arlene H. Sharpe, Mario Sznol, Derek A. Wainwright, Kwok-Kin Wong, Marcus W. Bosenberg

Abstract

Understanding how murine models can elucidate the mechanisms underlying antitumor immune responses and advance immune-based drug development is essential to advancing the field of cancer immunotherapy. The Society for Immunotherapy of Cancer (SITC) convened a workshop titled, "Challenges, Insights, and Future Directions for Mouse and Humanized Models in Cancer Immunology and Immunotherapy" as part of the SITC 31st Annual Meeting and Associated Programs on November 10, 2016 in National Harbor, MD. The workshop focused on key issues in optimizing models for cancer immunotherapy research, with discussions on the strengths and weaknesses of current models, approaches to improve the predictive value of mouse models, and advances in cancer modeling that are anticipated in the near future. This full-day program provided an introduction to the most common immunocompetent and humanized models used in cancer immunology and immunotherapy research, and addressed the use of models to evaluate immune-targeting therapies. Here, we summarize the workshop presentations and subsequent panel discussion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Professor 4 13%
Student > Ph. D. Student 4 13%
Other 2 7%
Student > Bachelor 1 3%
Other 2 7%
Unknown 9 30%
Readers by discipline Count As %
Immunology and Microbiology 7 23%
Medicine and Dentistry 6 20%
Agricultural and Biological Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Veterinary Science and Veterinary Medicine 1 3%
Other 0 0%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 October 2017.
All research outputs
#7,305,383
of 25,382,440 outputs
Outputs from Journal for Immunotherapy of Cancer
#1,782
of 3,422 outputs
Outputs of similar age
#107,401
of 325,249 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#18
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 47th percentile – i.e., 47% 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 325,249 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 66% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.