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X Demographics
Mendeley readers
Attention Score in Context
| Title |
One-Pot Microbial Method to Synthesize Dual-Doped Graphene and Its Use as High-Performance Electrocatalyst
|
|---|---|
| Published in |
Scientific Reports, December 2013
|
| DOI | 10.1038/srep03499 |
| Pubmed ID | |
| Authors |
Peipei Guo, Fei Xiao, Qian Liu, Hongfang Liu, Yunlong Guo, Jian Ru Gong, Shuai Wang, Yunqi Liu |
| Abstract |
A novel strategy to synthesize nitrogen (N) and sulfur (S)-doped graphene (G) is developed through sulfate-reducing bacteria treating graphene oxide (GO). The N, S-doped G demonstrates significantly improved electrocatalytic properties and electrochemical sensing performances in comparison with single-doped graphene due to the synergistic effects of dual dopants on the properties of graphene. |
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 % |
|---|---|---|
| Italy | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Researcher | 1 | 6% |
| Student > Master | 1 | 6% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 2 | 13% |
| Chemistry | 2 | 13% |
| Materials Science | 2 | 13% |
| Computer Science | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 April 2021.
All research outputs
#4,588,487
of 22,738,543 outputs
Outputs from Scientific Reports
#35,437
of 122,582 outputs
Outputs of similar age
#55,668
of 307,539 outputs
Outputs of similar age from Scientific Reports
#190
of 666 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 122,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 70% 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 307,539 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 81% of its contemporaries.
We're also able to compare this research output to 666 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.