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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications
|
|---|---|
| Published in |
ACM Transactions on Architecture and Code Optimization, March 2023
|
| DOI | 10.1145/3575861 |
| Authors |
Francesco Minervini, Oscar Palomar, Osman Unsal, Enrico Reggiani, Josue Quiroga, Joan Marimon, Carlos Rojas, Roger Figueras, Abraham Ruiz, Alberto Gonzalez, Jonnatan Mendoza, Ivan Vargas, César Hernandez, Joan Cabre, Lina Khoirunisya, Mustapha Bouhali, Julian Pavon, Francesc Moll, Mauro Olivieri, Mario Kovac, Mate Kovac, Leon Dragic, Mateo Valero, Adrian Cristal |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| Japan | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 9 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Lecturer | 2 | 11% |
| Researcher | 2 | 11% |
| Professor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 37% |
| Unspecified | 4 | 21% |
| Engineering | 3 | 16% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 March 2023.
All research outputs
#4,984,075
of 26,017,215 outputs
Outputs from ACM Transactions on Architecture and Code Optimization
#29
of 391 outputs
Outputs of similar age
#94,579
of 425,166 outputs
Outputs of similar age from ACM Transactions on Architecture and Code Optimization
#1
of 7 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 391 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 425,166 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 77% of its contemporaries.
We're also able to compare this research output to 7 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