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X Demographics
Mendeley readers
Attention Score in Context
Title |
Cu-Based Multicomponent Metallic Compound Materials as Electrocatalyst for Water Splitting
|
---|---|
Published in |
Frontiers in Chemistry, June 2022
|
DOI | 10.3389/fchem.2022.913874 |
Pubmed ID | |
Authors |
Peijia Wang, Jingjing An, Zhenyu Ye, Wei Cai, Xiaohang Zheng |
X Demographics
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 33% |
Student > Ph. D. Student | 2 | 33% |
Researcher | 1 | 17% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 33% |
Chemical Engineering | 1 | 17% |
Materials Science | 1 | 17% |
Chemistry | 1 | 17% |
Unknown | 1 | 17% |
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 13 June 2022.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from Frontiers in Chemistry
#2,870
of 5,855 outputs
Outputs of similar age
#353,036
of 437,430 outputs
Outputs of similar age from Frontiers in Chemistry
#155
of 428 outputs
Altmetric has tracked 22,663,969 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 5,855 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% 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 437,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 428 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.