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Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures

Overview of attention for article published in Science, July 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 68,423)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
217 news outlets
blogs
27 blogs
policy
1 policy source
twitter
1936 tweeters
facebook
9 Facebook pages
wikipedia
3 Wikipedia pages
reddit
5 Redditors

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
131 Mendeley
Title
Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures
Published in
Science, July 2020
DOI 10.1126/science.abd2438
Pubmed ID
Authors

Thomas Lecocq, Stephen P. Hicks, Koen Van Noten, Kasper van Wijk, Paula Koelemeijer, Raphael S. M. De Plaen, Frédérick Massin, Gregor Hillers, Robert E. Anthony, Maria-Theresia Apoloner, Mario Arroyo-Solórzano, Jelle D. Assink, Pinar Büyükakpınar, Andrea Cannata, Flavio Cannavo, Sebastian Carrasco, Corentin Caudron, Esteban J. Chaves, David G. Cornwell, David Craig, Olivier F. C. den Ouden, Jordi Diaz, Stefanie Donner, Christos P. Evangelidis, Läslo Evers, Benoit Fauville, Gonzalo A. Fernandez, Dimitrios Giannopoulos, Steven J. Gibbons, Társilo Girona, Bogdan Grecu, Marc Grunberg, György Hetényi, Anna Horleston, Adolfo Inza, Jessica C. E. Irving, Mohammadreza Jamalreyhani, Alan Kafka, Mathijs R. Koymans, Celeste R. Labedz, Eric Larose, Nathaniel J. Lindsey, Mika McKinnon, Tobias Megies, Meghan S. Miller, William Minarik, Louis Moresi, Víctor H. Márquez-Ramírez, Martin Möllhoff, Ian M. Nesbitt, Shankho Niyogi, Javier Ojeda, Adrien Oth, Simon Proud, Jay Pulli, Lise Retailleau, Annukka E. Rintamäki, Claudio Satriano, Martha K. Savage, Shahar Shani-Kadmiel, Reinoud Sleeman, Efthimios Sokos, Klaus Stammler, Alexander E. Stott, Shiba Subedi, Mathilde B. Sørensen, Taka'aki Taira, Mar Tapia, Fatih Turhan, Ben van der Pluijm, Mark Vanstone, Jerome Vergne, Tommi A. T. Vuorinen, Tristram Warren, Joachim Wassermann, Han Xiao

Twitter Demographics

The data shown below were collected from the profiles of 1,936 tweeters 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Ph. D. Student 22 17%
Student > Master 15 11%
Student > Bachelor 13 10%
Other 10 8%
Other 28 21%
Unknown 17 13%
Readers by discipline Count As %
Earth and Planetary Sciences 47 36%
Social Sciences 8 6%
Agricultural and Biological Sciences 8 6%
Engineering 6 5%
Physics and Astronomy 5 4%
Other 33 25%
Unknown 24 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3223. 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 26 October 2020.
All research outputs
#670
of 16,092,545 outputs
Outputs from Science
#46
of 68,423 outputs
Outputs of similar age
#106
of 299,522 outputs
Outputs of similar age from Science
#7
of 977 outputs
Altmetric has tracked 16,092,545 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 68,423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.3. This one has done particularly well, scoring higher than 99% 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 299,522 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 99% of its contemporaries.
We're also able to compare this research output to 977 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.