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A Translational Quantitative Systems Pharmacology Model for CD3 Bispecific Molecules: Application to Quantify T Cell-Mediated Tumor Cell Killing by P-Cadherin LP DART®

Overview of attention for article published in The AAPS Journal, May 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Readers on

mendeley
3 Mendeley
Title
A Translational Quantitative Systems Pharmacology Model for CD3 Bispecific Molecules: Application to Quantify T Cell-Mediated Tumor Cell Killing by P-Cadherin LP DART®
Published in
The AAPS Journal, May 2019
DOI 10.1208/s12248-019-0332-z
Pubmed ID
Authors

Alison Betts, Nahor Haddish-Berhane, Dhaval K. Shah, Piet H. van der Graaf, Frank Barletta, Lindsay King, Tracey Clark, Cris Kamperschroer, Adam Root, Andrea Hooper, Xiaoying Chen

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 67%
Unspecified 2 67%
Researcher 1 33%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Unspecified 3 100%
Pharmacology, Toxicology and Pharmaceutical Science 2 67%
Engineering 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2019.
All research outputs
#8,331,164
of 13,292,373 outputs
Outputs from The AAPS Journal
#515
of 809 outputs
Outputs of similar age
#138,929
of 238,106 outputs
Outputs of similar age from The AAPS Journal
#9
of 30 outputs
Altmetric has tracked 13,292,373 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 809 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 26th percentile – i.e., 26% 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 238,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.