| Title |
Nitrogen-Doped Sponge Ni Fibers as Highly Efficient Electrocatalysts for Oxygen Evolution Reaction
|
|---|---|
| Published in |
Nano-Micro Letters, March 2019
|
| DOI | 10.1007/s40820-019-0253-5 |
| Pubmed ID | |
| Authors |
Kaili Zhang, Xinhui Xia, Shengjue Deng, Yu Zhong, Dong Xie, Guoxiang Pan, Jianbo Wu, Qi Liu, Xiuli Wang, Jiangping Tu |
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 % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 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 | 10 | 22% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 19 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 22% |
| Engineering | 4 | 9% |
| Materials Science | 4 | 9% |
| Chemical Engineering | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 21 | 47% |
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 2019.
All research outputs
#18,023,618
of 23,150,406 outputs
Outputs from Nano-Micro Letters
#309
of 989 outputs
Outputs of similar age
#250,022
of 351,597 outputs
Outputs of similar age from Nano-Micro Letters
#7
of 26 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 54% 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 351,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.