| Title |
Micelle-enabled self-assembly of porous and monolithic carbon membranes for bioelectronic interfaces
|
|---|---|
| Published in |
Nature Nanotechnology, December 2020
|
| DOI | 10.1038/s41565-020-00805-z |
| Pubmed ID | |
| Authors |
Yin Fang, Aleksander Prominski, Menahem Y. Rotenberg, Lingyuan Meng, Héctor Acarón Ledesma, Yingying Lv, Jiping Yue, Erik Schaumann, Junyoung Jeong, Naomi Yamamoto, Yuanwen Jiang, Benayahu Elbaz, Wei Wei, Bozhi Tian |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| United Kingdom | 1 | 8% |
| Spain | 1 | 8% |
| Canada | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Master | 8 | 12% |
| Professor | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 24 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 15% |
| Materials Science | 9 | 14% |
| Chemistry | 5 | 8% |
| Chemical Engineering | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 31 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 27 July 2023.
All research outputs
#972,532
of 25,305,422 outputs
Outputs from Nature Nanotechnology
#910
of 3,719 outputs
Outputs of similar age
#26,416
of 524,197 outputs
Outputs of similar age from Nature Nanotechnology
#22
of 57 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. 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 524,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 57 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 63% of its contemporaries.