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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
High-Performance Non-enzymatic Glucose Sensors Based on CoNiCu Alloy Nanotubes Arrays Prepared by Electrodeposition
|
---|---|
Published in |
Frontiers in Materials, January 2019
|
DOI | 10.3389/fmats.2019.00003 |
Authors |
Xuewen Gong, Yan Gu, Faqiang Zhang, Zhifu Liu, Yongxiang Li, Guanyu Chen, Bo Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 25% |
Student > Master | 8 | 13% |
Student > Bachelor | 6 | 10% |
Researcher | 3 | 5% |
Lecturer | 2 | 3% |
Other | 5 | 8% |
Unknown | 23 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 13 | 21% |
Engineering | 7 | 11% |
Materials Science | 6 | 10% |
Chemical Engineering | 4 | 6% |
Physics and Astronomy | 2 | 3% |
Other | 6 | 10% |
Unknown | 25 | 40% |
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 28 January 2019.
All research outputs
#14,902,694
of 23,125,690 outputs
Outputs from Frontiers in Materials
#272
of 2,537 outputs
Outputs of similar age
#248,689
of 437,614 outputs
Outputs of similar age from Frontiers in Materials
#6
of 46 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,537 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 88% 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 437,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.