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Mendeley readers
Attention Score in Context
| Title |
Insights into enzymatic halogenation from computational studies
|
|---|---|
| Published in |
Frontiers in Chemistry, November 2014
|
| DOI | 10.3389/fchem.2014.00098 |
| Pubmed ID | |
| Authors |
Hans M. Senn |
| Abstract |
The halogenases are a group of enzymes that have only come to the fore over the last 10 years thanks to the discovery and characterization of several novel representatives. They have revealed the fascinating variety of distinct chemical mechanisms that nature utilizes to activate halogens and introduce them into organic substrates. Computational studies using a range of approaches have already elucidated many details of the mechanisms of these enzymes, often in synergistic combination with experiment. This Review summarizes the main insights gained from these studies. It also seeks to identify open questions that are amenable to computational investigations. The studies discussed herein serve to illustrate some of the limitations of the current computational approaches and the challenges encountered in computational mechanistic enzymology. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 15 | 29% |
| Agricultural and Biological Sciences | 10 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 13 | 25% |
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 11 November 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Frontiers in Chemistry
#3,227
of 6,763 outputs
Outputs of similar age
#231,255
of 271,245 outputs
Outputs of similar age from Frontiers in Chemistry
#24
of 31 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,763 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.