You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enabling structure-based drug design of Tyk2 through co-crystallization with a stabilizing aminoindazole inhibitor
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, September 2012
|
| DOI | 10.1186/1472-6807-12-22 |
| Pubmed ID | |
| Authors |
Maria A Argiriadi, Eric R Goedken, David Banach, David W Borhani, Andrew Burchat, Richard W Dixon, Doug Marcotte, Gary Overmeyer, Valerie Pivorunas, Ramkrishna Sadhukhan, Silvino Sousa, Nigel St John Moore, Medha Tomlinson, Jeffrey Voss, Lu Wang, Neil Wishart, Kevin Woller, Robert V Talanian |
| Abstract |
Structure-based drug design (SBDD) can accelerate inhibitor lead design and optimization, and efficient methods including protein purification, characterization, crystallization, and high-resolution diffraction are all needed for rapid, iterative structure determination. Janus kinases are important targets that are amenable to structure-based drug design. Here we present the first mouse Tyk2 crystal structures, which are complexed to 3-aminoindazole compounds. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 22% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Doctoral Student | 3 | 11% |
| Other | 3 | 11% |
| Professor | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 22% |
| Agricultural and Biological Sciences | 5 | 19% |
| Chemistry | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Computer Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
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 06 July 2016.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#304
of 1,233 outputs
Outputs of similar age
#61,918
of 188,916 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#3
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% 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 188,916 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 66% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.