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Multi-scale X-ray tomography and machine learning algorithms to study MoNi4 electrocatalysts anchored on MoO2 cuboids aligned on Ni foam

Overview of attention for article published in BMC Materials, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
18 Mendeley
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Title
Multi-scale X-ray tomography and machine learning algorithms to study MoNi4 electrocatalysts anchored on MoO2 cuboids aligned on Ni foam
Published in
BMC Materials, March 2020
DOI 10.1186/s42833-020-00011-0
Authors

Emre Topal, Zhongquan Liao, Markus Löffler, Jürgen Gluch, Jian Zhang, Xinliang Feng, Ehrenfried Zschech

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 3 17%
Other 1 6%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Chemistry 2 11%
Physics and Astronomy 2 11%
Engineering 2 11%
Materials Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 10 56%
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 30 May 2023.
All research outputs
#7,922,551
of 23,862,416 outputs
Outputs from BMC Materials
#2
of 7 outputs
Outputs of similar age
#144,829
of 365,183 outputs
Outputs of similar age from BMC Materials
#1
of 1 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 5 of them.
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 365,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them