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Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data

Overview of attention for article published in Geophysical Research Letters, July 2017
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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)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
33 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data
Published in
Geophysical Research Letters, July 2017
DOI 10.1002/2017gl073580
Authors

D. Cheloni, V. De Novellis, M. Albano, A. Antonioli, M. Anzidei, S. Atzori, A. Avallone, C. Bignami, M. Bonano, S. Calcaterra, R. Castaldo, F. Casu, G. Cecere, C. De Luca, R. Devoti, D. Di Bucci, A. Esposito, A. Galvani, P. Gambino, R. Giuliani, R. Lanari, M. Manunta, M. Manzo, M. Mattone, A. Montuori, A. Pepe, S. Pepe, G. Pezzo, G. Pietrantonio, M. Polcari, F. Riguzzi, S. Salvi, V. Sepe, E. Serpelloni, G. Solaro, S. Stramondo, P. Tizzani, C. Tolomei, E. Trasatti, E. Valerio, I. Zinno, C. Doglioni

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 X users 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 31 23%
Student > Master 16 12%
Student > Bachelor 8 6%
Student > Postgraduate 7 5%
Other 12 9%
Unknown 23 17%
Readers by discipline Count As %
Earth and Planetary Sciences 87 66%
Engineering 7 5%
Environmental Science 3 2%
Agricultural and Biological Sciences 2 2%
Mathematics 1 <1%
Other 4 3%
Unknown 28 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 24 August 2018.
All research outputs
#993,650
of 25,660,026 outputs
Outputs from Geophysical Research Letters
#2,002
of 21,726 outputs
Outputs of similar age
#19,826
of 324,754 outputs
Outputs of similar age from Geophysical Research Letters
#56
of 378 outputs
Altmetric has tracked 25,660,026 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 21,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done particularly well, scoring higher than 90% 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 324,754 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 378 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.