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X Demographics
Mendeley readers
Attention Score in Context
Title |
Cloud-Native Repositories for Big Scientific Data
|
---|---|
Published in |
Computing in Science & Engineering, February 2021
|
DOI | 10.1109/mcse.2021.3059437 |
Authors |
Ryan P. Abernathey, Tom Augspurger, Anderson Banihirwe, Charles C. Blackmon-Luca, Timothy J. Crone, Chelle L. Gentemann, Joseph J. Hamman, Naomi Henderson, Chiara Lepore, Theo A. McCaie, Niall H. Robinson, Richard P. Signell |
X Demographics
The data shown below were collected from the profiles of 24 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 States | 15 | 63% |
Argentina | 1 | 4% |
France | 1 | 4% |
Unknown | 7 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 58% |
Scientists | 8 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 16% |
Researcher | 8 | 16% |
Student > Master | 6 | 12% |
Student > Doctoral Student | 4 | 8% |
Student > Bachelor | 4 | 8% |
Other | 9 | 18% |
Unknown | 12 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 17 | 33% |
Engineering | 6 | 12% |
Physics and Astronomy | 3 | 6% |
Computer Science | 3 | 6% |
Environmental Science | 2 | 4% |
Other | 8 | 16% |
Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 25 October 2023.
All research outputs
#2,086,476
of 25,387,668 outputs
Outputs from Computing in Science & Engineering
#31
of 527 outputs
Outputs of similar age
#62,700
of 557,742 outputs
Outputs of similar age from Computing in Science & Engineering
#3
of 13 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 557,742 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 88% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.