| Title |
Mechanism-Based Pharmacokinetic/Pharmacodynamic Model for THIOMAB™ Drug Conjugates
|
|---|---|
| Published in |
Pharmaceutical Research, December 2014
|
| DOI | 10.1007/s11095-014-1582-1 |
| Pubmed ID | |
| Authors |
Siddharth Sukumaran, Kapil Gadkar, Crystal Zhang, Sunil Bhakta, Luna Liu, Keyang Xu, Helga Raab, Shang-Fan Yu, Elaine Mai, Aimee Fourie-O’Donohue, Katherine R. Kozak, Saroja Ramanujan, Jagath R. Junutula, Kedan Lin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 34% |
| Student > Ph. D. Student | 11 | 19% |
| Other | 4 | 7% |
| Student > Master | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 20% |
| Agricultural and Biological Sciences | 11 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 13 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 January 2024.
All research outputs
#4,616,873
of 22,862,742 outputs
Outputs from Pharmaceutical Research
#483
of 2,858 outputs
Outputs of similar age
#67,065
of 361,655 outputs
Outputs of similar age from Pharmaceutical Research
#8
of 36 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 361,655 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 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.