| Title |
Rucio: Scientific Data Management
|
|---|---|
| Published in |
arXiv, August 2019
|
| DOI | 10.1007/s41781-019-0026-3 |
| Authors |
Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolo Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner |
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 % |
|---|---|---|
| Switzerland | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 42 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Researcher | 9 | 19% |
| Other | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 11 | 23% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 38% |
| Physics and Astronomy | 4 | 9% |
| Engineering | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Environmental Science | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 August 2019.
All research outputs
#8,000,306
of 24,213,825 outputs
Outputs from arXiv
#177,771
of 1,027,628 outputs
Outputs of similar age
#135,731
of 348,385 outputs
Outputs of similar age from arXiv
#6,039
of 28,176 outputs
Altmetric has tracked 24,213,825 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,027,628 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 348,385 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 60% of its contemporaries.
We're also able to compare this research output to 28,176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.