| Title |
Epik: a software program for pKa prediction and protonation state generation for drug-like molecules
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, September 2007
|
| DOI | 10.1007/s10822-007-9133-z |
| Pubmed ID | |
| Authors |
John C. Shelley, Anuradha Cholleti, Leah L. Frye, Jeremy R. Greenwood, Mathew R. Timlin, Makoto Uchimaya |
Mendeley readers
The data shown below were compiled from readership statistics for 862 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | <1% |
| Germany | 3 | <1% |
| Czechia | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| Chile | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 839 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 180 | 21% |
| Researcher | 133 | 15% |
| Student > Bachelor | 94 | 11% |
| Student > Master | 88 | 10% |
| Student > Postgraduate | 37 | 4% |
| Other | 134 | 16% |
| Unknown | 196 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 227 | 26% |
| Biochemistry, Genetics and Molecular Biology | 123 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 81 | 9% |
| Agricultural and Biological Sciences | 71 | 8% |
| Computer Science | 17 | 2% |
| Other | 95 | 11% |
| Unknown | 248 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 September 2022.
All research outputs
#2,139,356
of 26,017,215 outputs
Outputs from Perspectives in Drug Discovery and Design
#40
of 971 outputs
Outputs of similar age
#4,697
of 87,673 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 971 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% 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 87,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them