| Title |
pKa measurements for the SAMPL6 prediction challenge for a set of kinase inhibitor-like fragments
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, November 2018
|
| DOI | 10.1007/s10822-018-0168-0 |
| Pubmed ID | |
| Authors |
Mehtap Işık, Dorothy Levorse, Ariën S. Rustenburg, Ikenna E. Ndukwe, Heather Wang, Xiao Wang, Mikhail Reibarkh, Gary E. Martin, Alexey A. Makarov, David L. Mobley, Timothy Rhodes, John D. Chodera |
X Demographics
The data shown below were collected from the profiles of 10 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 | 6 | 60% |
| Chile | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 37% |
| Researcher | 8 | 23% |
| Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Postgraduate | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 26% |
| Agricultural and Biological Sciences | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemical Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 29 June 2021.
All research outputs
#2,572,976
of 25,461,852 outputs
Outputs from Perspectives in Drug Discovery and Design
#63
of 949 outputs
Outputs of similar age
#53,233
of 365,468 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#2
of 16 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 365,468 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 85% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.