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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
OpenCL + OpenSHMEM Hybrid Programming Model for the Adapteva Epiphany
Architecture
|
|---|---|
| Chapter number | 12 |
| Book title |
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments
|
| Published in |
arXiv, August 2016
|
| DOI | 10.1007/978-3-319-50995-2_12 |
| Book ISBNs |
978-3-31-950994-5, 978-3-31-950995-2
|
| Authors |
David Richie, James Ross, David A. Richie, James A. Ross, Richie, David A., Ross, James A. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 December 2016.
All research outputs
#6,357,810
of 22,882,389 outputs
Outputs from arXiv
#137,138
of 939,591 outputs
Outputs of similar age
#106,335
of 355,869 outputs
Outputs of similar age from arXiv
#2,088
of 15,663 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 939,591 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 355,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 15,663 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.