| Title |
A CuNi/C Nanosheet Array Based on a Metal–Organic Framework Derivate as a Supersensitive Non-Enzymatic Glucose Sensor
|
|---|---|
| Published in |
Nano-Micro Letters, December 2017
|
| DOI | 10.1007/s40820-017-0178-9 |
| Pubmed ID | |
| Authors |
Li Zhang, Chen Ye, Xu Li, Yaru Ding, Hongbo Liang, Guangyu Zhao, Yan Wang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 9 | 16% |
| Researcher | 9 | 16% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 28% |
| Materials Science | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Engineering | 3 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 21 | 37% |
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 07 February 2018.
All research outputs
#15,486,899
of 23,785,843 outputs
Outputs from Nano-Micro Letters
#229
of 1,042 outputs
Outputs of similar age
#259,247
of 444,760 outputs
Outputs of similar age from Nano-Micro Letters
#6
of 22 outputs
Altmetric has tracked 23,785,843 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,042 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 75% 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 444,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.