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65match
coremat.com
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0 co-citations3 shared tech1 shared categorymedical-health
58match
juliepanmd.com
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0 co-citations3 shared tech1 shared categorymental-health
58match
kellereyeassociates.com
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58match
majorhealthcarellc.com
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0 co-citations3 shared tech1 shared categorymedical-health
58match
hamiltoncountyemployeeclinic.com
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0 co-citations3 shared tech1 shared categorymedical-health
58match
advancedhiokneechest.com
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0 co-citations3 shared tech1 shared categorymedical-health
58match
barbaraekelman.com
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0 co-citations3 shared tech1 shared categorymental-health
58match
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0 co-citations3 shared tech1 shared categorymedical-health
58match
costavistachiro.com
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0 co-citations3 shared tech1 shared categorymedical-health
53match
feetfirstmedical.com
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0 co-citations3 shared tech1 shared categoryfoot-health
53match
getpeopleinmotion.com
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0 co-citations3 shared tech1 shared categorymedical-health
50match
hollandeyeclinic.com
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0 co-citations2 shared tech1 shared categoryeye-and-vision-conditions
50match
4abstracts.com
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0 co-citations2 shared tech1 shared categorymedical-health
50match
aaawheelchair.com
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0 co-citations3 shared tech1 shared categorymedical-health
50match
aedssavinglives.com
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0 co-citations3 shared tech1 shared categoryfirst-aid
50match
ccfmedicine.com
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0 co-citations3 shared tech1 shared categorymedical-health
50match
cdhems.com
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0 co-citations3 shared tech1 shared categorymedical-health
50match
ceaslp.com
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0 co-citations3 shared tech1 shared categorymedical-health

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.