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Attention Score in Context
| Title |
Steering surface topographies of electrospun fibers: understanding the mechanisms
|
|---|---|
| Published in |
Scientific Reports, March 2017
|
| DOI | 10.1038/s41598-017-00181-0 |
| Pubmed ID | |
| Authors |
Gökçe Yazgan, Ruslan I. Dmitriev, Vasundhara Tyagi, James Jenkins, Gelu-Marius Rotaru, Markus Rottmar, René M. Rossi, Claudio Toncelli, Dmitri B. Papkovsky, Katharina Maniura-Weber, Giuseppino Fortunato |
| Abstract |
A profound understanding of how to tailor surface topographies of electrospun fibers is of great importance for surface sensitive applications including optical sensing, catalysis, drug delivery and tissue engineering. Hereby, a novel approach to comprehend the driving forces for fiber surface topography formation is introduced through inclusion of the dynamic solvent-polymer interaction during fiber formation. Thus, the interplay between polymer solubility as well as computed fiber jet surface temperature changes in function of time during solvent evaporation and the resultant phase separation behavior are studied. The correlation of experimental and theoretical results shows that the temperature difference between the polymer solution jet surface temperature and the dew point of the controlled electrospinning environment are the main influencing factors with respect to water condensation and thus phase separation leading to the final fiber surface topography. As polymer matrices with enhanced surface area are particularly appealing for sensing applications, we further functionalized our nanoporous fibrous membranes with a phosphorescent oxygen-sensitive dye. The hybrid membranes possess high brightness, stability in aqueous medium, linear response to oxygen and hence represent a promising scaffold for cell growth, contactless monitoring of oxygen and live fluorescence imaging in 3-D cell models. |
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 % |
|---|---|---|
| Switzerland | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 26% |
| Researcher | 19 | 17% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 6 | 5% |
| Student > Doctoral Student | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 28 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 25 | 22% |
| Engineering | 15 | 13% |
| Chemistry | 13 | 12% |
| Agricultural and Biological Sciences | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Other | 17 | 15% |
| Unknown | 34 | 30% |
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 16 November 2017.
All research outputs
#13,863,951
of 22,979,862 outputs
Outputs from Scientific Reports
#63,989
of 124,056 outputs
Outputs of similar age
#165,502
of 308,518 outputs
Outputs of similar age from Scientific Reports
#2,406
of 4,608 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 308,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,608 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.