| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Student > Ph. D. Student | 17 | 22% |
| Other | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Student > Master | 3 | 4% |
| Other | 3 | 4% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Medicine and Dentistry | 6 | 8% |
| Immunology and Microbiology | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 23 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 October 2022.
All research outputs
#6,652,522
of 23,509,982 outputs
Outputs from The AAPS Journal
#368
of 1,314 outputs
Outputs of similar age
#120,329
of 351,607 outputs
Outputs of similar age from The AAPS Journal
#3
of 31 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 70% 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 351,607 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 65% of its contemporaries.
We're also able to compare this research output to 31 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 90% of its contemporaries.