| Title |
Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review
|
|---|---|
| Published in |
The AAPS Journal, January 2012
|
| DOI | 10.1208/s12248-012-9322-0 |
| Pubmed ID | |
| Authors |
Tiejun Cheng, Qingliang Li, Zhigang Zhou, Yanli Wang, Stephen H. Bryant |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 792 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| Brazil | 5 | <1% |
| India | 4 | <1% |
| Germany | 2 | <1% |
| Poland | 2 | <1% |
| Japan | 2 | <1% |
| Argentina | 2 | <1% |
| Finland | 1 | <1% |
| Ireland | 1 | <1% |
| Other | 9 | 1% |
| Unknown | 758 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 172 | 22% |
| Student > Master | 122 | 15% |
| Researcher | 90 | 11% |
| Student > Bachelor | 84 | 11% |
| Student > Doctoral Student | 46 | 6% |
| Other | 110 | 14% |
| Unknown | 168 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 165 | 21% |
| Agricultural and Biological Sciences | 120 | 15% |
| Biochemistry, Genetics and Molecular Biology | 109 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 62 | 8% |
| Medicine and Dentistry | 41 | 5% |
| Other | 104 | 13% |
| Unknown | 191 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 31 January 2023.
All research outputs
#5,496,406
of 26,017,215 outputs
Outputs from The AAPS Journal
#290
of 1,473 outputs
Outputs of similar age
#44,721
of 258,530 outputs
Outputs of similar age from The AAPS Journal
#7
of 14 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,473 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 79% 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 258,530 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 82% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.