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Multicomponent Dark Matter in Radiative Seesaw Models

Overview of attention for article published in Frontiers in Physics, November 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Multicomponent Dark Matter in Radiative Seesaw Models
Published in
Frontiers in Physics, November 2017
DOI 10.3389/fphy.2017.00053
Authors

Mayumi Aoki, Daiki Kaneko, Jisuke Kubo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Student > Postgraduate 1 17%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Physics and Astronomy 5 83%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 November 2017.
All research outputs
#14,957,976
of 23,007,053 outputs
Outputs from Frontiers in Physics
#610
of 3,540 outputs
Outputs of similar age
#194,784
of 329,160 outputs
Outputs of similar age from Frontiers in Physics
#13
of 23 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,540 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 79% 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 329,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.