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New Insights into Single-Molecule Junctions Using a Robust, Unsupervised Approach to Data Collection and Analysis

Overview of attention for article published in Journal of the American Chemical Society, July 2015
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1 tweeter

Citations

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37 Mendeley

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Title
New Insights into Single-Molecule Junctions Using a Robust, Unsupervised Approach to Data Collection and Analysis
Published in
Journal of the American Chemical Society, July 2015
DOI 10.1021/jacs.5b05693
Pubmed ID
26181714
Authors

Michael S. Inkpen, Inkpen, Michael S, Lemmer, Mario, Fitzpatrick, Nathan, Costa-Milan, David, Nichols, Richard J, Long, Nicholas J, Albrecht, Tim, Mario Lemmer, Nathan Fitzpatrick, David C. Milan, Richard J. Nichols, Nicholas J. Long, Tim Albrecht

Abstract

We have applied a new, robust and unsupervised approach to data collection, sorting and analysis that provides fresh insights into the nature of single-molecule junctions. Automation of tunneling current-distance (I(s)) spectroscopy facilitates the collection of very large datasets (up to 100,000 traces for a single experiment), enabling comprehensive statistical interrogations with respect to underlying tunneling characteristics, noise and junction formation probability (JFP). We frequently observe unusual low-to-high through-molecule conductance features with increasing electrode separation, in addition to numerous other 'plateau' shapes which may be related to changes in interfacial or molecular bridge structure. Furthermore, for the first time we use the JFP to characterize the homogeneity of functionalized surfaces at the nanoscale.

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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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
United States 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 38%
Researcher 6 16%
Student > Master 5 14%
Student > Postgraduate 4 11%
Professor 3 8%
Other 5 14%
Readers by discipline Count As %
Chemistry 20 54%
Physics and Astronomy 7 19%
Materials Science 4 11%
Unspecified 2 5%
Agricultural and Biological Sciences 2 5%
Other 2 5%

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 18 August 2015.
All research outputs
#9,938,878
of 11,217,345 outputs
Outputs from Journal of the American Chemical Society
#40,464
of 42,589 outputs
Outputs of similar age
#192,810
of 235,346 outputs
Outputs of similar age from Journal of the American Chemical Society
#231
of 258 outputs
Altmetric has tracked 11,217,345 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 42,589 research outputs from this source. They receive a mean Attention Score of 5.0. 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 235,346 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 258 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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