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.
Search PubMed directly by name and/or ORCID. Adding an institution or year range is optional and only narrows the results.
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 |
|---|
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.
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.
c — your byline points ÷ the paper's total byline points, so credit per paper sums to 1.w = RCR^1.5 × c.e from the CEBM ladder (0–100), by its assigned tier.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.
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 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.
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.
| CEBM level | Evidence type | Weight · 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.
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.
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.