Welcome Pulse Lens
Pulse Lens · Visual Explorer

See — and interpret — the full evidence.

All 16,000+ curated records in the Pulse Brain catalogue, each one fully enriched — read, tier-graded, claims-extracted and cross-referenced. Filter by persona, evidence tier, sector, topic, study type, exclusions, date range or keyword to surface the interpretation behind the evidence, not just a list of titles.

of records 1995–2026
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who · how strong · what sector
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narrow by subject and methodology
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Refinement

exclude, date-bound, keyword-search
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Opens the list of studies matching your filters, with links to each record.

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Matching studies

records
GROWING HEALTH CORE Soil biology Nutrient density Farming systems Human outcomes BRAND VISUAL · FOUR CONSTELLATIONS
Brand piece: press / deck hero. Memorable, less literally useful. Would be promoted to live-data if we take the brand-visual direction — star positions based on maturity × volume scores.

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Pulse Lens — what each visualisation shows

Pulse Lens is the visual explorer for Vitagri's Pulse Brain research catalogue — an interactive view of 16,000+ peer-reviewed studies and industry reports on soil health, farming systems, nutrient density and human health. Eight linked visualisations turn the raw catalogue into a map of where evidence exists, where it converges, and where it is thin.

1. Farming system × outcome (evidence bubble matrix)

Rows are farming systems (organic, regenerative, pasture-fed, conventional). Columns are outcomes (phytonutrients, minerals, fatty-acid profile, microbiome, human biomarkers). Bubble size is record count in each cell; bubble colour is evidence strength (share of Tier-1 / Tier-2 records — meta-analyses and RCTs). At a glance: which farming systems are best-evidenced for which outcomes.

2. Thematic cluster map — the recurring ideas

A treemap-style view of the topic tags that recur most across the catalogue. Cluster size = record count, colour = theme (Nutrition & health, Farming systems, Policy, Climate, Measurement & metrics). Surfaces the intellectual centre of gravity of the evidence base.

3. Consensus spectrum — where the literature agrees

Ranks topics by how much the underlying evidence converges versus disagrees. Topics to the left have strong cross-study agreement (e.g. processed-meat cancer risk); topics to the right are contested (e.g. absolute nutrient-density differences between organic and conventional systems). Drives editorial priorities for the Weekly Bulletin.

4. Evidence tier pyramid

Stratifies the whole catalogue by evidence tier: T1 (meta-analysis, systematic review) at the apex, T2 (RCT, large cohort), T3 (observational, field trial, case-control), T4 (narrative review, commentary, guideline) at the base. Lets readers weight claims appropriately and see the true density of high-tier evidence on any topic after filtering.

5. Publication timeline

Year-by-year record counts from the earliest catalogued paper (1995) to the present. Highlights acceleration in specific research areas (regenerative agriculture, soil microbiome) and long-standing ones (nutritional epidemiology).

6. Geographic distribution

Horizontal bar chart of record counts by country or region of study conduct. UK, USA, Europe and International (global or multi-country) dominate; shows under-studied geographies where Vitagri's framework could productively commission or curate research.

7. Density heatmap — intersections

A denser second view of the farming-system × outcome space, optimised for spotting research corridors (well-covered intersections) and gaps (under-covered cells that a research programme could target). Complements the bubble matrix at a different level of abstraction.

8. Systems view

A compact systems diagram showing how the evidence connects soil biology, farm practice, food composition and human health outcomes — the causal chain Vitagri's GroundUp Framework operationalises.

All visualisations respond to the Advanced Filters at the top of the page: persona (Farmer, Food Buyer, Investor, Academia, Nutritionist), tier, sector, topic, study type, exclusions, date range and keyword. Filter state is preserved when jumping to the Evidence Index or Pulse AI so the reader can drill from a chart bubble into the underlying individual records.