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Mendeley readers
Attention Score in Context
| Title |
The Snomipede: A parallel platform for scanning near-field photolithography
|
|---|---|
| Published in |
Journal of Materials Research, November 2011
|
| DOI | 10.1557/jmr.2011.370 |
| Pubmed ID | |
| Authors |
Ehtsham ul-Haq, Zhuming Liu, Yuan Zhang, Shahrul A. Alang Ahmad, Lu Shin Wong, Jamie K. Hobbs, Graham J. Leggett, Jason Micklefield, Clive J. Roberts, John M.R. Weaver |
| Abstract |
The development of a novel method for functionalizing nanopatterned surfaces with catalytically active proteins is reported. This method involves using dip-pen nanolithography (DPN) and polymer pen lithography (PPL) to generate nanoscale patterns of coenzyme A, followed by a phosphopantetheinyl transferase-mediated coupling between coenzyme A and proteins fused to the ybbR-tag. By exploiting the ability to generate protein features over large areas afforded by DPN and PPL, it was now possible to measure protein activity directly on these surfaces. It was found that proteins immobilized on the nanoscale features not only display higher activity per area with decreasing feature size, but are also robust and can be used for repeated catalytic cycles. The immobilization method is applicable to a variety of proteins and gives rise to superior activity compared to proteins attached in random orientations on the surface. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Bachelor | 2 | 18% |
| Other | 1 | 9% |
| Student > Master | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 3 | 27% |
| Chemistry | 3 | 27% |
| Materials Science | 2 | 18% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 August 2017.
All research outputs
#7,472,947
of 22,846,662 outputs
Outputs from Journal of Materials Research
#304
of 1,819 outputs
Outputs of similar age
#69,663
of 240,526 outputs
Outputs of similar age from Journal of Materials Research
#6
of 17 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,819 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 14th percentile – i.e., 14% 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 240,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.