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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of molecular size in ligand efficiency
|
|---|---|
| Published in |
Bioorganic & Medicinal Chemistry Letters, May 2007
|
| DOI | 10.1016/j.bmcl.2007.05.038 |
| Pubmed ID | |
| Authors |
Charles H. Reynolds, Scott D. Bembenek, Brett A. Tounge |
| Abstract |
Ligand efficiency is a simple metric for assessing whether a ligand derives its potency from optimal fit with the protein target or simply by virtue of making many contacts. Comparison of protein-ligand binding affinities for over 8000 ligands with 28 protein targets shows conclusively that the average ligand binding affinities are not linear with molecular size. It is therefore important to scale ligand efficiencies by the size of the ligand, particularly where small ligands (e.g., fragments) are involved. We propose a simple 'fit quality' metric that removes this dependence. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| United States | 4 | 2% |
| Germany | 3 | 2% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 156 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 30% |
| Student > Ph. D. Student | 34 | 20% |
| Student > Master | 15 | 9% |
| Student > Bachelor | 15 | 9% |
| Other | 11 | 6% |
| Other | 30 | 17% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 84 | 49% |
| Agricultural and Biological Sciences | 32 | 19% |
| Biochemistry, Genetics and Molecular Biology | 11 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 4% |
| Medicine and Dentistry | 5 | 3% |
| Other | 13 | 8% |
| Unknown | 20 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 23 November 2023.
All research outputs
#2,170,243
of 25,371,288 outputs
Outputs from Bioorganic & Medicinal Chemistry Letters
#152
of 13,779 outputs
Outputs of similar age
#4,770
of 84,950 outputs
Outputs of similar age from Bioorganic & Medicinal Chemistry Letters
#2
of 165 outputs
Altmetric has tracked 25,371,288 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 13,779 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 84,950 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 165 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.