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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Exploring the RNA-Recognition Mechanism Using Supervised Molecular Dynamics (SuMD) Simulations: Toward a Rational Design for Ribonucleic-Targeting Molecules?
|
---|---|
Published in |
Frontiers in Chemistry, February 2020
|
DOI | 10.3389/fchem.2020.00107 |
Pubmed ID | |
Authors |
Maicol Bissaro, Mattia Sturlese, Stefano Moro |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 33% |
Switzerland | 1 | 33% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Researcher | 8 | 18% |
Student > Bachelor | 6 | 13% |
Professor | 3 | 7% |
Student > Master | 3 | 7% |
Other | 6 | 13% |
Unknown | 11 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 12 | 27% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Agricultural and Biological Sciences | 2 | 4% |
Engineering | 2 | 4% |
Other | 5 | 11% |
Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 September 2020.
All research outputs
#3,329,452
of 23,195,584 outputs
Outputs from Frontiers in Chemistry
#216
of 6,080 outputs
Outputs of similar age
#74,319
of 360,326 outputs
Outputs of similar age from Frontiers in Chemistry
#5
of 276 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,080 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 96% 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 360,326 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 79% of its contemporaries.
We're also able to compare this research output to 276 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.