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X Demographics
Mendeley readers
Attention Score in Context
Title |
pSTAT3: a target biomarker to study the pharmacology of the anti-IL-21R antibody ATR-107 in human whole blood
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Published in |
Journal of Translational Medicine, March 2013
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DOI | 10.1186/1479-5876-11-65 |
Pubmed ID | |
Authors |
Ming Zhu, Susan Pleasic-Williams, Tsung H Lin, David A Wunderlich, John B Cheng, Jaime L Masferrer |
Abstract |
IL-21 has been shown to play an important role in autoimmune diseases. ATR-107 is an antibody which directly targets the IL-21 receptor (IL-21R). To aid the clinical development of ATR-107, there is a need for understanding the mechanism of action (MOA) of this antibody when assessing target engagement in human subjects. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
Hungary | 1 | 33% |
India | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 5% |
Unknown | 19 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 25% |
Student > Master | 4 | 20% |
Student > Doctoral Student | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 1 | 5% |
Other | 2 | 10% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 20% |
Agricultural and Biological Sciences | 3 | 15% |
Chemistry | 2 | 10% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Computer Science | 1 | 5% |
Other | 5 | 25% |
Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 August 2019.
All research outputs
#5,857,742
of 22,701,287 outputs
Outputs from Journal of Translational Medicine
#880
of 3,969 outputs
Outputs of similar age
#48,519
of 196,101 outputs
Outputs of similar age from Journal of Translational Medicine
#16
of 58 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 77% 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 196,101 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 74% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.