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Self-Assembled 3D Flower-Like Hierarchical β-Ni(OH)2Hollow Architectures and their In Situ Thermal Conversion to NiO

Overview of attention for article published in Discover Nano, February 2009
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Mentioned by

patent
1 patent

Citations

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120 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Self-Assembled 3D Flower-Like Hierarchical β-Ni(OH)2Hollow Architectures and their In Situ Thermal Conversion to NiO
Published in
Discover Nano, February 2009
DOI 10.1007/s11671-009-9279-9
Pubmed ID
Authors

Lu-Ping Zhu, Gui-Hong Liao, Yang Yang, Hong-Mei Xiao, Ji-Fen Wang, Shao-Yun Fu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
South Africa 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 9 16%
Student > Master 5 9%
Student > Postgraduate 4 7%
Student > Doctoral Student 3 5%
Other 5 9%
Unknown 15 26%
Readers by discipline Count As %
Materials Science 14 25%
Chemistry 12 21%
Chemical Engineering 4 7%
Engineering 3 5%
Mathematics 1 2%
Other 5 9%
Unknown 18 32%
Attention Score in Context

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 13 September 2018.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Discover Nano
#227
of 1,146 outputs
Outputs of similar age
#38,376
of 108,354 outputs
Outputs of similar age from Discover Nano
#4
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 60% 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 108,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.