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Magnus and Dyson series for Master Integrals

Overview of attention for article published in Journal of High Energy Physics, March 2014
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Mentioned by

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1 tweeter

Citations

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62 Dimensions

Readers on

mendeley
17 Mendeley
Title
Magnus and Dyson series for Master Integrals
Published in
Journal of High Energy Physics, March 2014
DOI 10.1007/jhep03(2014)082
Authors

Mario Argeri, Stefano Di Vita, Pierpaolo Mastrolia, Edoardo Mirabella, Johannes Schlenk, Ulrich Schubert, Lorenzo Tancredi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 6%
Korea, Republic of 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 59%
Researcher 3 18%
Student > Postgraduate 2 12%
Student > Doctoral Student 1 6%
Unspecified 1 6%
Other 0 0%
Readers by discipline Count As %
Physics and Astronomy 15 88%
Business, Management and Accounting 1 6%
Unspecified 1 6%

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 14 January 2014.
All research outputs
#11,385,498
of 12,803,979 outputs
Outputs from Journal of High Energy Physics
#10,052
of 12,300 outputs
Outputs of similar age
#208,009
of 250,122 outputs
Outputs of similar age from Journal of High Energy Physics
#219
of 366 outputs
Altmetric has tracked 12,803,979 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,300 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 250,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.