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Electron delocalization and charge mobility as a function of reduction in a metal–organic framework

Overview of attention for article published in Nature Materials, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

3 news outlets
2 blogs
14 tweeters
1 Facebook page


238 Dimensions

Readers on

278 Mendeley
Electron delocalization and charge mobility as a function of reduction in a metal–organic framework
Published in
Nature Materials, June 2018
DOI 10.1038/s41563-018-0098-1
Pubmed ID

Michael L. Aubrey, Brian M. Wiers, Sean C. Andrews, Tsuneaki Sakurai, Sebastian E. Reyes-Lillo, Samia M. Hamed, Chung-Jui Yu, Lucy E. Darago, Jarad A. Mason, Jin-Ook Baeg, Fernande Grandjean, Gary J. Long, Shu Seki, Jeffrey B. Neaton, Peidong Yang, Jeffrey R. Long


Conductive metal-organic frameworks are an emerging class of three-dimensional architectures with degrees of modularity, synthetic flexibility and structural predictability that are unprecedented in other porous materials. However, engendering long-range charge delocalization and establishing synthetic strategies that are broadly applicable to the diverse range of structures encountered for this class of materials remain challenging. Here, we report the synthesis of K x Fe2(BDP)3 (0 ≤ x ≤ 2; BDP2- = 1,4-benzenedipyrazolate), which exhibits full charge delocalization within the parent framework and charge mobilities comparable to technologically relevant polymers and ceramics. Through a battery of spectroscopic methods, computational techniques and single-microcrystal field-effect transistor measurements, we demonstrate that fractional reduction of Fe2(BDP)3 results in a metal-organic framework that displays a nearly 10,000-fold enhancement in conductivity along a single crystallographic axis. The attainment of such properties in a K x Fe2(BDP)3 field-effect transistor represents the realization of a general synthetic strategy for the creation of new porous conductor-based devices.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 26%
Researcher 43 15%
Student > Master 31 11%
Student > Doctoral Student 22 8%
Student > Bachelor 18 6%
Other 43 15%
Unknown 48 17%
Readers by discipline Count As %
Chemistry 117 42%
Materials Science 37 13%
Engineering 16 6%
Physics and Astronomy 14 5%
Chemical Engineering 12 4%
Other 14 5%
Unknown 68 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 27 August 2018.
All research outputs
of 22,790,780 outputs
Outputs from Nature Materials
of 3,973 outputs
Outputs of similar age
of 329,013 outputs
Outputs of similar age from Nature Materials
of 73 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.4. This one has done well, scoring higher than 78% 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 329,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.