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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large area micropatterning of cells on polydimethylsiloxane surfaces
|
|---|---|
| Published in |
Journal of Biological Engineering, October 2014
|
| DOI | 10.1186/1754-1611-8-24 |
| Pubmed ID | |
| Authors |
Mahmoud E Moustafa, Venkat S Gadepalli, Ahmed A Elmak, Woomin Lee, Raj R Rao, Vamsi K Yadavalli |
| Abstract |
Precise spatial control and patterning of cells is an important area of research with numerous applications in tissue engineering, as well as advancing an understanding of fundamental cellular processes. Poly (dimethyl siloxane) (PDMS) has long been used as a flexible, biocompatible substrate for cell culture with tunable mechanical characteristics. However, fabrication of suitable physico-chemical barriers for cells on PDMS substrates over large areas is still a challenge. |
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 % |
|---|---|---|
| Unknown | 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Professor > Associate Professor | 8 | 12% |
| Student > Doctoral Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 10 | 15% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 21% |
| Agricultural and Biological Sciences | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Materials Science | 6 | 9% |
| Chemistry | 5 | 7% |
| Other | 12 | 18% |
| Unknown | 15 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 October 2018.
All research outputs
#5,875,103
of 22,768,097 outputs
Outputs from Journal of Biological Engineering
#94
of 258 outputs
Outputs of similar age
#63,881
of 260,971 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 2 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 63% 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 260,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.