From bibliometrics to ROPE narratives,in one guided workflow.
Bring the Google Scholar, SciVal, Overton and Altmetric exports you already hold, and the assistant drafts research context, contribution, mentoring and impact narratives you review, edit and export.
How the workflow runs
Eight steps take a researcher from raw supplier exports to section drafts. Each step is reversible, and nothing is generated until you confirm the matches and select the outputs to write about.
Data extraction
Pull research outputs and metrics about a researcher from user-provided Google Scholar, SciVal, Overton, and Altmetric data.
Confirm matches
Identify the researcher's author name variants across data suppliers.
Select publications
Choose career-best outputs and assign a contribution/impact area to each.
Generate annotations
Produce ~120-character annotations for each selected output.
Research context
Draft a bibliometric context narrative from GS and SciVal data.
Contribution to field(s)
Generate a contribution narrative from user-provided data and automatically retrieved ARC grants data.
Mentoring and leadership
Describe mentoring and leadership evidence from user-provided Google Scholar data and automatically retrieved ORCiD and ARC grants data.
Research standing and impact
Narrativise the researcher's research standing and impact using Overton policy, Altmetric attention, and patent citations.
Data inputs
Google Scholar and ORCiD carry the evidence every narrative depends on. SciVal, Overton and Altmetric are recommended: they add field-weighted impact, policy reach and public attention detail.
Google Scholar
EssentialOutputs, citations, h-index, authorship positions and co-authors.
ORCiD
EssentialBiography, peer-review count and identifier for ARC grant matching.
SciVal
RecommendedFWCI, SJR quartiles and Scopus-indexed output counts.
Overton
RecommendedPolicy citations with country, sector and SDG attribution.
Altmetric Explorer
RecommendedAttention sources, news mentions, patents and per-output scores.
Live lookups and dynamic evidence
Beyond your uploaded files, the assistant fetches and recomputes evidence each time you run a section: ORCiD profiles, ARC grants, author matching and the narrative text itself.
ORCiD profile lookup
Biography and peer-review record retrieved from the researcher's ORCiD identifier.
ARC grants lookup
Scheme, role and funding pulled from the ARC Data Portal for the identified researcher.
Author name matching
Name variants across Google Scholar, SciVal and Overton confirmed before any drafting.
Google Scholar metrics
Citations, h-index and authorship positions recomputed from the uploaded profile.
SciVal field-weighted impact
FWCI, top-decile shares and SJR quartiles parsed from your SciVal exports.
Overton policy reach
Policy documents tallied by source country, sector and Sustainable Development Goal.
Altmetric attention
Attention sources, news mentions and scores aggregated per research output.
Patent citations
Patent mentions matched to outputs and drafted into a citation paragraph.
Annotation drafting
Per-output annotations written against the impact area you assign.
Narrative regeneration
Any section redrafted on demand from the evidence you have confirmed.
Sample output
The mentoring and leadership section, drafted for a mid-career researcher from ORCiD, Google Scholar and ARC grants evidence. Every sentence is editable before export.
How it works
- 1.The assistant pulls in your researcher biography and peer-review record from your ORCiD profile.
- 2.The assistant prompts the user to identify HDR students the researcher has supervised among co-authors of research outputs.
- 3.The assistant gathers ARC grants data relating to the researcher's funding track record.
- 4.The assistant drafts mentoring and leadership sentences from this evidence, paired with recommendations for further refinement.
Mentoring and leadership
GeneratedMentoring
I have co-authored 11 research outputs with 6 current and former HDR students under my supervision.
Leadership
I have completed 34 peer reviews for 7 outlets (see ORCiD 0000-0000-0000-0000), including 4 reviews for the highly ranked Conservation Biology. In the role of Chief Investigator, I have been awarded 3 ARC grants totalling AUD1,240,000, leading 2 totalling AUD860,000.
Recommendation from ARC ROPE Writing Assistant
Using any remaining characters, consider adding evidence of the extent and quality of your HDR supervision, as well as any HDR director or coordinator roles held, to strengthen the mentoring narrative. For leadership, the narrative could be enhanced by referring to notable invited keynote talks or research prizes, framed at a level appropriate to a mid-career researcher.
Illustrative sample for Dr. Sarah Chen (Ecology). Real output reflects the researcher's own evidence.
Ready to draft your ROPE?
Purchase or redeem a voucher to run the full workflow on your own research outputs and export the generated narratives.