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Overview of Probe-based Storage Technologies

Overview of attention for article published in Nanoscale Research Letters, July 2016
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1 tweeter

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Title
Overview of Probe-based Storage Technologies
Published in
Nanoscale Research Letters, July 2016
DOI 10.1186/s11671-016-1556-9
Pubmed ID
27456500
Authors

Lei Wang, Ci Hui Yang, Jing Wen, Si Di Gong, Yuan Xiu Peng

Abstract

The current world is in the age of big data where the total amount of global digital data is growing up at an incredible rate. This indeed necessitates a drastic enhancement on the capacity of conventional data storage devices that are, however, suffering from their respective physical drawbacks. Under this circumstance, it is essential to aggressively explore and develop alternative promising mass storage devices, leading to the presence of probe-based storage devices. In this paper, the physical principles and the current status of several different probe storage devices, including thermo-mechanical probe memory, magnetic probe memory, ferroelectric probe memory, and phase-change probe memory, are reviewed in details, as well as their respective merits and weakness. This paper provides an overview of the emerging probe memories potentially for next generation storage device so as to motivate the exploration of more innovative technologies to push forward the development of the probe storage devices.

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Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 29%
Student > Ph. D. Student 7 23%
Student > Bachelor 4 13%
Student > Doctoral Student 2 6%
Researcher 2 6%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Engineering 8 26%
Energy 5 16%
Chemical Engineering 3 10%
Materials Science 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 6 19%
Unknown 4 13%

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 09 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from Nanoscale Research Letters
#622
of 1,079 outputs
Outputs of similar age
#281,958
of 365,445 outputs
Outputs of similar age from Nanoscale Research Letters
#21
of 29 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,079 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 32nd percentile – i.e., 32% 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 365,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.

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