| Title |
A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience
|
|---|---|
| Published in |
Neuroinformatics, August 2015
|
| DOI | 10.1007/s12021-015-9276-3 |
| Pubmed ID | |
| Authors |
Victoria Hodge, Mark Jessop, Martyn Fletcher, Michael Weeks, Aaron Turner, Tom Jackson, Colin Ingram, Leslie Smith, Jim Austin |
| Abstract |
The CARMEN Virtual Laboratory (VL) is a cloud-based platform which allows neuroscientists to store, share, develop, execute, reproduce and publicise their work. This paper describes new functionality in the CARMEN VL: an interactive publications repository. This new facility allows users to link data and software to publications. This enables other users to examine data and software associated with the publication and execute the associated software within the VL using the same data as the authors used in the publication. The cloud-based architecture and SaaS (Software as a Service) framework allows vast data sets to be uploaded and analysed using software services. Thus, this new interactive publications facility allows others to build on research results through reuse. This aligns with recent developments by funding agencies, institutions, and publishers with a move to open access research. Open access provides reproducibility and verification of research resources and results. Publications and their associated data and software will be assured of long-term preservation and curation in the repository. Further, analysing research data and the evaluations described in publications frequently requires a number of execution stages many of which are iterative. The VL provides a scientific workflow environment to combine software services into a processing tree. These workflows can also be associated with publications and executed by users. The VL also provides a secure environment where users can decide the access rights for each resource to ensure copyright and privacy restrictions are met. |
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 % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Latvia | 1 | 3% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Student > Master | 4 | 11% |
| Librarian | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 21% |
| Social Sciences | 5 | 13% |
| Arts and Humanities | 4 | 11% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 10 | 26% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 September 2015.
All research outputs
#14,917,568
of 25,584,565 outputs
Outputs from Neuroinformatics
#217
of 431 outputs
Outputs of similar age
#131,719
of 279,414 outputs
Outputs of similar age from Neuroinformatics
#4
of 6 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 431 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 279,414 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 52% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.