| Title |
Computational storage: an efficient and scalable platform for big data and HPC applications
|
|---|---|
| Published in |
Journal of Big Data, November 2019
|
| DOI | 10.1186/s40537-019-0265-5 |
| Authors |
Mahdi Torabzadehkashi, Siavash Rezaei, Ali HeydariGorji, Hosein Bobarshad, Vladimir Alves, Nader Bagherzadeh |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 4 | 11% |
| Professor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 30% |
| Engineering | 6 | 16% |
| Business, Management and Accounting | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 April 2023.
All research outputs
#4,630,264
of 23,253,955 outputs
Outputs from Journal of Big Data
#85
of 350 outputs
Outputs of similar age
#92,313
of 358,866 outputs
Outputs of similar age from Journal of Big Data
#4
of 17 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 76% 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 358,866 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 74% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.