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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Modeling of Cobalt-Based Water Oxidation: Current Status and Future Challenges
|
|---|---|
| Published in |
Frontiers in Chemistry, April 2018
|
| DOI | 10.3389/fchem.2018.00100 |
| Pubmed ID | |
| Authors |
Mauro Schilling, Sandra Luber |
| Abstract |
A lot of effort is nowadays put into the development of novel water oxidation catalysts. In this context, mechanistic studies are crucial in order to elucidate the reaction mechanisms governing this complex process, new design paradigms and strategies how to improve the stability and efficiency of those catalysts. This review is focused on recent theoretical mechanistic studies in the field of homogeneous cobalt-based water oxidation catalysts. In the first part, computational methodologies and protocols are summarized and evaluated on the basis of their applicability toward real catalytic or smaller model systems, whereby special emphasis is laid on the choice of an appropriate model system. In the second part, an overview of mechanistic studies is presented, from which conceptual guidelines are drawn on how to approach novel studies of catalysts and how to further develop the field of computational modeling of water oxidation reactions. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
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 | 11 | 24% |
| Researcher | 6 | 13% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 23 | 51% |
| Chemical Engineering | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 April 2018.
All research outputs
#7,211,425
of 23,028,364 outputs
Outputs from Frontiers in Chemistry
#551
of 6,010 outputs
Outputs of similar age
#124,963
of 327,254 outputs
Outputs of similar age from Frontiers in Chemistry
#23
of 146 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,010 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 90% 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 327,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.