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Memristive networks: From graph theory to statistical physics

Overview of attention for article published in EPL (Europhysics Letters), January 2019
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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7 X users

Readers on

mendeley
18 Mendeley
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Article details
Title
Memristive networks: From graph theory to statistical physics
Published in
EPL (Europhysics Letters), January 2019
DOI 10.1209/0295-5075/125/10001
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 22%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Other 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 4 22%
Mathematics 3 17%
Chemical Engineering 1 6%
Chemistry 1 6%
Engineering 1 6%
Other 1 6%
Unknown 7 39%
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 20 September 2019.
All research outputs
#12,350,438
of 34,377,743 outputs
Outputs from EPL (Europhysics Letters)
#1,030
of 6,888 outputs
Outputs of similar age
#194,231
of 506,872 outputs
Outputs of similar age from EPL (Europhysics Letters)
#15
of 139 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,888 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 75% 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 506,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.