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Reusing research software, the software that advances society by supporting and contributing to academic research, is hard. The difficulty lies in locating the necessary algorithm, extracting and importing the relevant source code, and giving proper recognition to the original developers of the research software. To address these issues, a tool infrastructure is presented that aims to make research software more FAIR, i.e Findable, Accessible, Interoperable, and Reusable. The FAIRSECO tool infrastructure addresses two critical information needs: firstly, it provides potential users of research software with metrics related to software quality, provenance information, and impact data. Secondly, the infrastructure provides information for those who wish to measure the success of a project by offering impact and citation data. If the FAIRSECO tool infrastructure is used more widely, research software engineers can finally receive the credit they deserve.
| citations 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 | 1 | |
| downloads | 3 |

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