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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Serverless Tool for Platform Agnostic Computational Experiment Management
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, March 2019
|
| DOI | 10.3389/fninf.2019.00012 |
| Pubmed ID | |
| Authors |
Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans |
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 | 3 | 13% |
| Canada | 2 | 8% |
| Switzerland | 2 | 8% |
| Korea, Republic of | 1 | 4% |
| Australia | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 14 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Scientists | 8 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Professor | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 41% |
| Neuroscience | 4 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Psychology | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 27 June 2024.
All research outputs
#2,557,249
of 26,198,325 outputs
Outputs from Frontiers in Neuroinformatics
#85
of 850 outputs
Outputs of similar age
#55,085
of 369,128 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 21 outputs
Altmetric has tracked 26,198,325 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 850 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 90% 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 369,128 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 85% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.