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In the geosciences as in other scientific areas, computation has become a core component of research, complementing field observation, laboratory analysis, experiment, and theory. Computational tools for data analysis, mapping, visualization, modeling, and simulation are essential for all aspects of the scientific workflow. Specialized scientific software is often developed by geoscientists for their own use, and this effort represents a distinctive intellectual contribution that can be on par with data collection and publications. Thus it is important to be able to properly attribute this effort, both to assign credit to the software authors and contributors, and to establish the provenance of software, promote its reuse, and support efforts to ensure reproducibility of scientific results. Drawing on a geoscience community that focuses on developing and disseminating scientific software, we assess the current practices of software attribution. The recent citation practices of the Computational Infrastructure for Geodynamics (CIG), geodynamics.org, community were assessed by examining its publication list from 2010-2015 [Article List.csv]. In addition, for all CIG held codes, we examine the citation requests by developers in their user's manual [Citation Request.CSV]. Please see README.rtf for data descriptions
This project is supported by the U.S. National Science Foundation award number SMA-1448633. CIG is supported by the National Science Foundation award NSF-0949446.
Computational Infrastructure for Geodynamics, software citation, survey, attribution, CIG
Computational Infrastructure for Geodynamics, software citation, survey, attribution, CIG
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 | |
| downloads | 6 |

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