Title |
Development of an UPLC-MS/MS Method for the Quantitative Analysis of Upadacitinib in Beagle Dog Plasma and Pharmacokinetics Study
|
---|---|
Published in |
Drug Design, Development and Therapy, October 2021
|
DOI | 10.2147/dddt.s332282 |
Pubmed ID | |
Authors |
Meng-Jie Wang, Yu-Hang Zhao, Chen Fan, Ying-Jie Wang, Xin-Qi Wang, Xiang-Jun Qiu, Rui-Le Shen |
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 % |
---|---|---|
Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Student > Bachelor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 9 | 69% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 23% |
Immunology and Microbiology | 1 | 8% |
Unknown | 9 | 69% |
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 12 October 2021.
All research outputs
#20,884,497
of 25,658,541 outputs
Outputs from Drug Design, Development and Therapy
#1,453
of 2,276 outputs
Outputs of similar age
#330,247
of 437,983 outputs
Outputs of similar age from Drug Design, Development and Therapy
#27
of 41 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 22nd percentile – i.e., 22% 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 437,983 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.