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Antibody–Drug Conjugates (ADCs) for Personalized Treatment of Solid Tumors: A Review

Overview of attention for article published in Advances in Therapy, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 2,679)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
53 news outlets
policy
1 policy source
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2 X users
patent
4 patents

Citations

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225 Dimensions

Readers on

mendeley
335 Mendeley
Title
Antibody–Drug Conjugates (ADCs) for Personalized Treatment of Solid Tumors: A Review
Published in
Advances in Therapy, March 2017
DOI 10.1007/s12325-017-0519-6
Pubmed ID
Authors

John M. Lambert, Charles Q. Morris

Abstract

Attaching a cytotoxic "payload" to an antibody to form an antibody-drug conjugate (ADC) provides a mechanism for selective delivery of the cytotoxic agent to cancer cells via the specific binding of the antibody to cancer-selective cell surface molecules. The first ADC to receive marketing authorization was gemtuzumab ozogamicin, which comprises an anti-CD33 antibody conjugated to a highly potent DNA-targeting antibiotic, calicheamicin, approved in 2000 for treating acute myeloid leukemia. It was withdrawn from the US market in 2010 following an unsuccessful confirmatory trial. The development of two classes of highly potent microtubule-disrupting agents, maytansinoids and auristatins, as payloads for ADCs resulted in approval of brentuximab vedotin in 2011 for treating Hodgkin lymphoma and anaplastic large cell lymphoma, and approval of ado-trastuzumab emtansine in 2013 for treating HER2-positive breast cancer. Their success stimulated much research into the ADC approach, with >60 ADCs currently in clinical evaluation, mostly targeting solid tumors. Five ADCs have advanced into pivotal clinical trials for treating various solid tumors-platinum-resistant ovarian cancer, mesothelioma, triple-negative breast cancer, glioblastoma, and small cell lung cancer. The level of target expression is a key parameter in predicting the likelihood of patient benefit for all these ADCs, as well as for the approved compound, ado-trastuzumab emtansine. The development of a patient selection strategy linked to target expression on the tumor is thus critically important for identifying the population appropriate for receiving treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 335 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 16%
Researcher 48 14%
Student > Master 42 13%
Student > Bachelor 37 11%
Other 28 8%
Other 32 10%
Unknown 94 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 57 17%
Chemistry 48 14%
Pharmacology, Toxicology and Pharmaceutical Science 33 10%
Agricultural and Biological Sciences 28 8%
Medicine and Dentistry 20 6%
Other 47 14%
Unknown 102 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 426. 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 04 July 2023.
All research outputs
#68,705
of 25,729,842 outputs
Outputs from Advances in Therapy
#5
of 2,679 outputs
Outputs of similar age
#1,590
of 324,136 outputs
Outputs of similar age from Advances in Therapy
#1
of 49 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,679 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 99% 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 324,136 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 99% of its contemporaries.
We're also able to compare this research output to 49 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 97% of its contemporaries.