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Emerging Concepts Targeting Immune Checkpoints in Cancer and Autoimmunity

Overview of attention for book
Attention for Chapter 67: Role of PD-1 in Immunity and Diseases
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Role of PD-1 in Immunity and Diseases
Chapter number 67
Book title
Emerging Concepts Targeting Immune Checkpoints in Cancer and Autoimmunity
Published in
Current topics in microbiology and immunology, January 2017
DOI 10.1007/82_2017_67
Pubmed ID
Book ISBNs
978-3-31-968928-9, 978-3-31-968929-6
Authors

Kenji Chamoto, Muna Al-Habsi, Tasuku Honjo, Chamoto, Kenji, Al-Habsi, Muna, Honjo, Tasuku

Abstract

Immunity developed to defend our bodies from foreign particles, including bacteria and viruses. Although effector cells responsible for acquired immunity, mainly T cells, and B cells, are able to distinguish self from non-self, they sometimes attack the body's tissues because of imperfect central tolerance. Several immune check points developed to limit overactivation of these cells. One of the most important immune checkpoints is programmed cell death-1 (PD-1), which is expressed mainly on activated lymphocytes. As its ligands (PD-Ls) are expressed widely in the body and affect the responses against self and foreign antigens, controlling PD-1/PD-L interactions enables the management of several immune-related diseases such as autoimmune disease, virus infection, and cancers. Currently, the strategy of PD-1/ PD-L1 blockade has already been applied to clinical cancer therapy, providing evidences that PD-1 signal is one of the main factors of cancer immune escape in humans. The dramatic efficacy of PD-1 blockade in cancer immunotherapy, promises the control of other immune diseases by PD-1 signal modulation. In this review, we summarize the history of PD-1, subsequent basic studies, and their application to the clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Student > Master 14 13%
Student > Ph. D. Student 10 9%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 16 15%
Unknown 38 36%
Readers by discipline Count As %
Medicine and Dentistry 27 25%
Biochemistry, Genetics and Molecular Biology 13 12%
Immunology and Microbiology 11 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Agricultural and Biological Sciences 5 5%
Other 5 5%
Unknown 41 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 March 2022.
All research outputs
#2,999,224
of 23,923,788 outputs
Outputs from Current topics in microbiology and immunology
#76
of 690 outputs
Outputs of similar age
#60,513
of 425,821 outputs
Outputs of similar age from Current topics in microbiology and immunology
#10
of 42 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 89% 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 425,821 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 85% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.