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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational analysis of protein-protein interfaces involving an alpha helix: insights for terphenyl–like molecules binding
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, June 2013
|
| DOI | 10.1186/2050-6511-14-31 |
| Pubmed ID | |
| Authors |
Adriana Isvoran, Dana Craciun, Virginie Martiny, Olivier Sperandio, Maria A Miteva |
| Abstract |
Protein-Protein Interactions (PPIs) are key for many cellular processes. The characterization of PPI interfaces and the prediction of putative ligand binding sites and hot spot residues are essential to design efficient small-molecule modulators of PPI. Terphenyl and its derivatives are small organic molecules known to mimic one face of protein-binding alpha-helical peptides. In this work we focus on several PPIs mediated by alpha-helical peptides. |
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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Russia | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 7 | 21% |
| Student > Bachelor | 6 | 18% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 26% |
| Chemistry | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Computer Science | 3 | 9% |
| Physics and Astronomy | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 3 | 9% |
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 26 February 2014.
All research outputs
#15,294,762
of 22,745,803 outputs
Outputs from BMC Pharmacology and Toxicology
#247
of 439 outputs
Outputs of similar age
#123,002
of 198,041 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#5
of 6 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 34th percentile – i.e., 34% 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 198,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.