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 |
Identification of potential Zika virus NS2B-NS3 protease inhibitors via docking, molecular dynamics and consensus scoring-based virtual screening
|
|---|---|
| Published in |
Journal of Molecular Modeling, June 2019
|
| DOI | 10.1007/s00894-019-4076-6 |
| Pubmed ID | |
| Authors |
Lucy R. Bowen, Dennis J. Li, Derek T. Nola, Marc O. Anderson, Michael Heying, Adam T. Groves, Scott Eagon |
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 % |
|---|---|---|
| Switzerland | 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 22% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 6 | 19% |
| Student > Doctoral Student | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 16% |
| Chemistry | 5 | 16% |
| Medicine and Dentistry | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 June 2019.
All research outputs
#20,573,484
of 23,150,406 outputs
Outputs from Journal of Molecular Modeling
#642
of 827 outputs
Outputs of similar age
#298,800
of 351,696 outputs
Outputs of similar age from Journal of Molecular Modeling
#11
of 17 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 351,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.