↓ Skip to main content

Applying the matched-filter technique to the search for dark matter transients with networks of quantum sensors

Overview of attention for article published in EPJ Quantum Technology , February 2020
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 152)
  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
16 Mendeley
Title
Applying the matched-filter technique to the search for dark matter transients with networks of quantum sensors
Published in
EPJ Quantum Technology , February 2020
DOI 10.1140/epjqt/s40507-020-00081-9
Authors

Guglielmo Panelli, Benjamin M. Roberts, Andrei Derevianko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 3 19%
Student > Bachelor 2 13%
Professor 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Physics and Astronomy 8 50%
Earth and Planetary Sciences 3 19%
Agricultural and Biological Sciences 1 6%
Materials Science 1 6%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 August 2019.
All research outputs
#6,601,876
of 25,387,668 outputs
Outputs from EPJ Quantum Technology
#40
of 152 outputs
Outputs of similar age
#119,193
of 384,856 outputs
Outputs of similar age from EPJ Quantum Technology
#2
of 3 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 73% 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 384,856 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 68% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.