↓ Skip to main content

PD-1, PD-L1 (B7-H1) and Tumor-Site Immune Modulation Therapy: The Historical Perspective

Overview of attention for article published in Journal of Hematology & Oncology, January 2017
Altmetric Badge

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
84 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
PD-1, PD-L1 (B7-H1) and Tumor-Site Immune Modulation Therapy: The Historical Perspective
Published in
Journal of Hematology & Oncology, January 2017
DOI 10.1186/s13045-017-0403-5
Pubmed ID
Authors

Jun Wang, Ruirong Yuan, Wenru Song, Jingwei Sun, Delong Liu, Zihai Li

Abstract

The current success of targeted inhibition against cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and Programmed Death 1/Programmed Death Ligand 1 (PD-1/PD-L1, herein collectively referred to as PD) pathways is hailed as a cancer immunotherapy breakthrough. PD-L1, known also as B7 homolog 1 (B7-H1), was initially discovered by Dr. Lieping Chen in 1999. To recognize the seminal contributions by Chen to the development of PD-directed therapy against cancer, the Chinese American Hematologist and Oncologist Network (CAHON) decided to honor him with its inaugural Lifetime Achievement Award in Hematology and Oncology at the CAHON's 2015 annual meeting. This essay chronicles the important discoveries made by Chen in the exciting field of immuno-oncology, which goes beyond his original fateful finding. It also argues that PD-directed therapy should be appropriately considered as Tumor-Site Immune Modulation Therapy to distinguish it from CTLA-4-based immune checkpoint blocking agents.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Bachelor 12 14%
Student > Ph. D. Student 9 11%
Student > Master 6 7%
Other 4 5%
Other 9 11%
Unknown 24 29%
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Immunology and Microbiology 13 15%
Biochemistry, Genetics and Molecular Biology 12 14%
Agricultural and Biological Sciences 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 10%
Unknown 27 32%
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 28 April 2018.
All research outputs
#2,088,402
of 22,968,808 outputs
Outputs from Journal of Hematology & Oncology
#144
of 1,196 outputs
Outputs of similar age
#46,190
of 419,076 outputs
Outputs of similar age from Journal of Hematology & Oncology
#2
of 40 outputs
Altmetric has tracked 22,968,808 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 1,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 87% 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 419,076 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 88% of its contemporaries.
We're also able to compare this research output to 40 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 95% of its contemporaries.