yangindex
Place your publication record on the Yang Index Evidence Balance Beam.
The Yang Index is made of two numbers — M for mass and C for center of mass — that better summarize both the quantity and quality of scholarly work.
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Search a name above to place a record on the beam. Or press Load example to see it work with a sample portfolio — no network needed.

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Search PubMed directly by name and/or ORCID. Adding an institution or year range is optional and only narrows the results.

Add specific papers by PMID or DOI
Adds onto whatever is already loaded, deduped by PubMed ID — use it to patch profiles OpenAlex split apart, or papers it missed entirely. DOIs are resolved to their PubMed ID.
Evidence beam — marker area is owned mass, fulcrum is the centre of mass. Only ticked papers appear. Solid circles carry mass; open circles carry none
Point at a circle to see the paper — click to open it on PubMed. An empty circle carries no owned mass (the paper is too new or uncited).
Publications resting on an evidence beam with the centre of mass marked
Centre-of-mass measure
M · total credited mass
—
how much real work there is
C · centre of mass
—
what kind of work carries it · 0–100
Conventional metrics, for comparison
Publications
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—
Total citations
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all included papers
h-index
—
PubMed subset, iCite cites
i10-index
—
papers cited 10+ times
h-index, OpenAlex
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reference · all works

Papers

Untick anything that belongs to a different author with the same name. Tiers with no badge came from an indexed publication type. mesh means the design was read from MEDLINE subject headings and text from wording in the title or abstract. db means a paper tagged "Multicenter Study" named a recognised administrative database (NSQIP, NIS and similar), so it was moved to the registry tier. assumed means nothing in the record indicated a design, so an assumed no-design tier (weight 50) was applied rather than crediting it as a cohort — those are the rows to correct first. aff marks a paper whose listed affiliation matched none of yours. Everything recalculates as you edit.

Use Year Title Journal Pos Co-1st Evidence tier (CEBM) RCR Cites c w

Mass (M) — how much credited work there is

Every paper carries a mass, RCR1.5 × your share of the byline. M is the total. Padding a record with uncited or low-credit work barely moves it, so volume alone does not inflate the number.

Center of Mass (C) — what kind of work carries it

C is the mass-weighted average evidence level on a 0–100 CEBM scale — the balance point of the record. A high C means the credited weight sits in cohorts and trials, not editorials and case reports.

Quick Summary: How the yang index (M and C) is calculated

  1. For each ticked paper, take its RCR (field-normalised citation ratio from NIH iCite).
  2. Work out your credit c — your byline points ÷ the paper's total byline points, so credit per paper sums to 1.
  3. Form the paper's mass: w = RCR^1.5 × c.
  4. Read its evidence level e from the CEBM ladder (0–100), by its assigned tier.
  5. M = Σ w — the total credited mass.
  6. C = Σ(w · e) ÷ Σ w — the mass-weighted centre of mass on 0–100.

How the measure is built

The h-index rewards a steady supply of moderately cited papers and says nothing about what kind of work a record is made of. In a field where medical students, residents and attendings publish at very different volumes — and where a large share of that output is editorials, case reports and database dumps — a single count is easy to inflate and hard to read. The yang index answers a different pair of questions: how much credited work is there, and what kind of work carries the weight.

Mass (M) — what each paper is worth

Each paper's mass is w = RCR^1.5 × credit. RCR is the NIH Relative Citation Ratio, which is field- and time-normalised, so a paper is measured against others in its own area and era rather than by raw citations. The 1.5 exponent (gamma) spreads records apart instead of letting everyone average toward the middle — high-impact papers pull more weight, marginal ones less. Credit is your share of the byline (see below). Multiplying the two means a paper only adds real mass when it is both used by the field and genuinely yours.

Credit (c) — conservation across the byline

Credit is a fixed points table by position — sole 5, first 4, senior 3, second 2, middle 1 — normalised so the credit across one paper's byline always sums to one. Nothing is created by adding authors; a paper is a fixed amount of credit divided up. Co-first authorship promotes the second author to a first-author share. Because credit is conserved, padding is invisible: appearing as a middle author on many papers accumulates only small fractions, so it cannot manufacture mass.

Worked example. On a four-author paper you led, the byline scores first 4, second 2, middle 1 and senior 3 — ten points in total — so your first-author share is 4 ÷ 10 = 0.40. The same paper with you sitting in the middle would be 1 ÷ 10 = 0.10, and as senior author 3 ÷ 10 = 0.30. Whoever is on the byline, the four shares always add back to 1.

Evidence level — the CEBM ladder

The horizontal axis is the Oxford Centre for Evidence-Based Medicine (CEBM) Levels of Evidence, scored 0–100. Randomised trials, systematic reviews and meta-analyses sit at the top; prospective cohorts below them; registry and multicentre work in the middle; retrospective and case-control below that; case reports, narrative reviews and editorials near the bottom. These weights are provisional and set in one editable block at the top of the script — they are exactly what the current review with the PIs is meant to settle.

How each tier is scored — CEBM level → weight (provisional)
CEBM levelEvidence typeWeight · 0–100

This is the arbitrary ranking under review — the numbers, not how a paper is detected. Strongest evidence at the top; the assumed "no design signal" tier is where a paper lands when nothing in the record indicates a design.

How a paper is assigned to a tier is separate from what that tier is worth, and does not change: a chain runs from the indexed PubMed publication type, to MEDLINE subject headings (Retrospective Studies and similar), to design wording in the title and abstract, and only then falls back to the low registry tier when nothing indicates a design. A "Multicenter Study" that names a recognised administrative database is moved to the registry tier. When nothing at all indicates a design, the paper drops to an assumed no-design tier (weight 50) rather than being credited as a cohort. Every row records which step decided it, so you can correct the ones the record left ambiguous.

Center of Mass (C) — where the weight sits

C brings the two pieces above together into a single balance point. Each ticked paper is placed on the 0–100 CEBM axis at its evidence level e and weighted by its owned mass w, and C is the mass-weighted average of those levels, C = Σ(w · e) ÷ Σ w. It asks not how much a record contains but where its credited weight sits on the evidence ladder.

So a higher C means the mass of a record sits at higher CEBM levels — prospective cohorts, trials, systematic reviews and guidelines rather than editorials and case reports — which lets C stand as a reflection of the methodological quality of the work, where M reflects its quantity. Because C is mass-weighted, a few high-impact, high-evidence papers pull it up more than many marginal ones, and uncited padding (zero mass) does not move it at all.

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Mass is the NIH Relative Citation Ratio raised to the 1.5 power, times conserved byline credit; RCR is field- and time-normalised but includes self-citations. Evidence level follows the Oxford CEBM ladder; the numeric weights are provisional and editable in the script's CEBM config block. Tier assignment works down a chain — indexed publication type, then MEDLINE subject headings, then design wording in the title and abstract, then a fallback to an assumed no-design tier — and every row records which step decided it. Affiliations flag rather than filter, because PubMed did not index non-first-author affiliations before about 2014. Author matching is by surname and initials and will attach the wrong papers to common names, which is why every row is editable.