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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
C ORRFUNC : Blazing Fast Correlation Functions with AVX512F SIMD Intrinsics
|
---|---|
Chapter number | 1 |
Book title |
Software Challenges to Exascale Computing
|
Published in |
arXiv, December 2018
|
DOI | 10.1007/978-981-13-7729-7_1 |
Book ISBNs |
978-9-81-137728-0, 978-9-81-137729-7
|
Authors |
Manodeep Sinha, Lehman Garrison, Lehman H. Garrison, Sinha, Manodeep, Garrison, Lehman |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 29% |
Student > Ph. D. Student | 2 | 29% |
Student > Bachelor | 1 | 14% |
Student > Master | 1 | 14% |
Student > Postgraduate | 1 | 14% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 7 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 November 2019.
All research outputs
#3,319,426
of 23,140,503 outputs
Outputs from arXiv
#62,020
of 952,409 outputs
Outputs of similar age
#77,282
of 436,815 outputs
Outputs of similar age from arXiv
#1,766
of 25,412 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952,409 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 93% 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 436,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 25,412 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 92% of its contemporaries.