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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation
|
|---|---|
| Published in |
International Journal of Parallel Programming, February 2024
|
| DOI | 10.1007/s10766-024-00761-4 |
| Authors |
Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio Del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 2 | 10% |
| Malaysia | 1 | 5% |
| China | 1 | 5% |
| United States | 1 | 5% |
| Russia | 1 | 5% |
| Unknown | 14 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 95% |
| Scientists | 1 | 5% |
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 > Doctoral Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 March 2024.
All research outputs
#2,632,286
of 25,418,993 outputs
Outputs from International Journal of Parallel Programming
#3
of 184 outputs
Outputs of similar age
#18,600
of 175,669 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 1 outputs
Altmetric has tracked 25,418,993 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 184 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 175,669 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them