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Large Scale Monodisperse Hexagonal Arrays of Superparamagnetic Iron Oxides Nanodots: A Facile Block Copolymer Inclusion Method

Overview of attention for article published in Advanced Materials, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Large Scale Monodisperse Hexagonal Arrays of Superparamagnetic Iron Oxides Nanodots: A Facile Block Copolymer Inclusion Method
Published in
Advanced Materials, April 2012
DOI 10.1002/adma.201200357
Pubmed ID
Authors

Tandra Ghoshal, Tuhin Maity, Jeffrey F. Godsell, Saibal Roy, Michael A. Morris

Abstract

Highly dense hexagonal ordered arrays of superparamagnetic iron oxides nanodots are fabricated by a simple and cost-effective route. Spectroscopic, microscopic and magnetic measurements show that the nanodots have uniform size, shape and their placement mimics the original self-assembled block copolymer pattern. The nanodots show good thermal stability and strong adherence to the substrate surface, making them useful for practical device applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 38%
Researcher 10 17%
Student > Bachelor 7 12%
Student > Doctoral Student 6 10%
Other 2 3%
Other 6 10%
Unknown 5 9%
Readers by discipline Count As %
Chemistry 20 34%
Materials Science 17 29%
Engineering 6 10%
Physics and Astronomy 5 9%
Chemical Engineering 1 2%
Other 3 5%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 May 2012.
All research outputs
#4,835,823
of 25,374,647 outputs
Outputs from Advanced Materials
#4,485
of 17,835 outputs
Outputs of similar age
#30,664
of 174,012 outputs
Outputs of similar age from Advanced Materials
#116
of 222 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 71% 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 174,012 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 81% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.