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A model of neutrino mass and dark matter with large neutrinoless double beta decay

Overview of attention for article published in arXiv, April 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
4 Mendeley
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Title
A model of neutrino mass and dark matter with large neutrinoless double beta decay
Published in
arXiv, April 2017
DOI 10.1007/jhep04(2017)049
Authors

Julien Alcaide, Dipankar Das, Arcadi Santamaria

Twitter Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Other 1 25%
Unknown 2 50%
Readers by discipline Count As %
Physics and Astronomy 1 25%
Neuroscience 1 25%
Unknown 2 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2017.
All research outputs
#17,849,965
of 22,925,760 outputs
Outputs from arXiv
#441,241
of 941,314 outputs
Outputs of similar age
#220,980
of 309,857 outputs
Outputs of similar age from arXiv
#9,810
of 17,801 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 941,314 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 309,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17,801 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.