Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5276 · UNIT ID 1166412094
ZJU4HealthCare/Foundations-of-Medical-LLMs
Foundations of Medical Large Language Model Learning
[ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00927
ENGAGEMENT0.20
FRESHNESS1.47
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
61% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
10.99
ACCEL
-0.01
RETENTION
56.8%
PEAK 2026-05-26 · FORK-RETENTION 0.0% · 989 STARS / WINDOW

Author Audience

AUDIENCE
1,145
FOLLOWERS
230
OWNER ★
3,424

Engagement Signals

FORKS
271
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 989 / 989 (DIVERSITY 1.00)

Why This Is A Finding

ZJU4HealthCare/Foundations-of-Medical-LLMs собрал 989 звёзд за окно, тогда как у автора всего 230 подписчиков — эффективная аудитория ≈ 1,145. Это даёт surprise-индекс 0.00927 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY10.993.99+6.99ABOVE 80%
RETENTION56.8%17.1%+39.7 PPABOVE 98%
FORKS27190+182ABOVE 77%
SURPRISE0.010.01-0.00ABOVE 43%