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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular dynamics simulations and in silico peptide ligand screening of the Elk-1 ETS domain
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2011
|
| DOI | 10.1186/1758-2946-3-49 |
| Pubmed ID | |
| Authors |
Abrar Hussain, Peter E Shaw, Jonathan D Hirst |
| Abstract |
The Elk-1 transcription factor is a member of a group of proteins called ternary complex factors, which serve as a paradigm for gene regulation in response to extracellular signals. Its deregulation has been linked to multiple human diseases including the development of tumours. The work herein aims to inform the design of potential peptidomimetic compounds that can inhibit the formation of the Elk-1 dimer, which is key to Elk-1 stability. We have conducted molecular dynamics simulations of the Elk-1 ETS domain followed by virtual screening. |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 31 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Postgraduate | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 27% |
| Chemistry | 6 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 February 2012.
All research outputs
#3,652,583
of 22,656,971 outputs
Outputs from Journal of Cheminformatics
#357
of 825 outputs
Outputs of similar age
#21,332
of 141,726 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 23 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 56% 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 141,726 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 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.