| Title |
All VN-graphene architecture derived self-powered wearable sensors for ultrasensitive health monitoring
|
|---|---|
| Published in |
Nano Research, October 2018
|
| DOI | 10.1007/s12274-018-2219-1 |
| Authors |
Lianghao Yu, Yuyang Yi, Ting Yao, Yingze Song, Yiran Chen, Qiucheng Li, Zhou Xia, Nan Wei, Zhengnan Tian, Baoqing Nie, Li Zhang, Zhongfan Liu, Jingyu Sun |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 6 | 18% |
| Researcher | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 24% |
| Materials Science | 6 | 18% |
| Chemistry | 2 | 6% |
| Energy | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 March 2019.
All research outputs
#14,142,819
of 23,108,064 outputs
Outputs from Nano Research
#627
of 3,020 outputs
Outputs of similar age
#186,414
of 348,576 outputs
Outputs of similar age from Nano Research
#14
of 50 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,020 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 79% 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 348,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 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 72% of its contemporaries.