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Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets

Overview of attention for article published in AMB Express, January 2014
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Title
Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets
Published in
AMB Express, January 2014
DOI 10.1186/2191-0855-4-3
Pubmed ID
Authors

Veselin Boshkovikj, Hayden K Webb, Vy T H Pham, Christopher J Fluke, Russell J Crawford, Elena P Ivanova

Abstract

The design of biomaterial surfaces relies heavily on the ability to accurately measure and visualize the three-dimensional surface nanoarchitecture of substrata. Here, we present a technique for producing three-dimensional surface models using displacement maps that are based on the data obtained from two-dimensional analyses. This technique is particularly useful when applied to scanning electron micrographs that have been calibrated using atomic force microscopy (AFM) roughness data. The evaluation of four different surface types, including thin titanium films, silicon wafers, polystyrene cell culture dishes and dragonfly wings confirmed that this technique is particularly effective for the visualization of conductive surfaces such as metallic titanium. The technique is particularly useful for visualizing surfaces that cannot be easily analyzed using AFM. The speed and ease with which electron micrographs can be recorded, combined with a relatively simple process for generating displacement maps, make this technique useful for the assessment of the surface topography of biomaterials.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Doctoral Student 3 17%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Engineering 5 28%
Physics and Astronomy 2 11%
Materials Science 2 11%
Earth and Planetary Sciences 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 11%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 January 2014.
All research outputs
#20,216,580
of 22,739,983 outputs
Outputs from AMB Express
#965
of 1,229 outputs
Outputs of similar age
#264,512
of 304,956 outputs
Outputs of similar age from AMB Express
#2
of 8 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,229 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 304,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.