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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview
|
|---|---|
| Published in |
Frontiers in Pharmacology, August 2018
|
| DOI | 10.3389/fphar.2018.00923 |
| Pubmed ID | |
| Authors |
Veronica Salmaso, Stefano Moro |
| Abstract |
Computational techniques have been applied in the drug discovery pipeline since the 1980s. Given the low computational resources of the time, the first molecular modeling strategies relied on a rigid view of the ligand-target binding process. During the years, the evolution of hardware technologies has gradually allowed simulating the dynamic nature of the binding event. In this work, we present an overview of the evolution of structure-based drug discovery techniques in the study of ligand-target recognition phenomenon, going from the static molecular docking toward enhanced molecular dynamics strategies. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1271 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 195 | 15% |
| Student > Bachelor | 184 | 14% |
| Student > Master | 148 | 12% |
| Researcher | 114 | 9% |
| Student > Doctoral Student | 43 | 3% |
| Other | 149 | 12% |
| Unknown | 438 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 232 | 18% |
| Chemistry | 191 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 129 | 10% |
| Agricultural and Biological Sciences | 79 | 6% |
| Medicine and Dentistry | 24 | 2% |
| Other | 140 | 11% |
| Unknown | 476 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 August 2022.
All research outputs
#6,121,640
of 23,053,169 outputs
Outputs from Frontiers in Pharmacology
#2,428
of 16,381 outputs
Outputs of similar age
#106,640
of 333,932 outputs
Outputs of similar age from Frontiers in Pharmacology
#51
of 391 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 16,381 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 84% 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 333,932 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 67% of its contemporaries.
We're also able to compare this research output to 391 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.