ratingValue
The rating for the content.\n\nUsage guidelines:\n\n* Use values from 0123456789 (Unicode 'DIGIT ZERO' (U+0030) to 'DIGIT NINE' (U+0039)) rather than superficially similar Unicode symbols.\n* Use '.' (Unicode 'FULL STOP' (U+002E)) rather than ',' to indicate a decimal point. Avoid using these symbols as a readability separator.
Definición del vocabulario Schema.org (en inglés).
Dominios estimados
1M - 10M estable
Evolución en el tiempo
Franja de dominios en cada mes disponible.
Uso en Google Search
Contextos documentados por Google en los que esta propiedad es obligatoria o recomendada para rich results.
- Obligatoriareview-snippet
Number or Text The average rating for the item's quality using a numerical rating of either a number, fraction, or percentage (for example, 4, 60%, or 6 / 10). Google understands the scale for fractions and percentages, since the scale is implied in the fraction itself or the percentage. The default scale for numbers is a 5-point scale, where 1 is the lowest value and 5 is the highest value. If another scale is intended, use bestRating and worstRating. For decimal numbers, use a dot instead of a
- Obligatoriaemployer-rating
Number or Text A numerical quality rating for the item, either a number, fraction, or percentage (for example, "4", "60%", or "6 / 10"). Google understands the scale for fractions and percentages, since the scale is implied in the fraction itself or the percentage. The default scale for numbers is a 5-point scale, where 1 is the lowest value and 5 is the highest value. If another scale is intended, use bestRating and worstRating.
- Recomendadafactcheck
Number A numeric rating of this claim, in the range worstRating — bestRating inclusive. Integer values are recommended but not required. The closer the numeric rating is to bestRating, the more true it is; the closer this value is to worstRating, the more false it is. The numeric rating must be able to be evaluated as a number. Example: 4
Usada en los tipos
Las franjas indican el número de dominios únicos que usan el término. Son deliberadamente aproximadas para reducir el ruido y proteger la privacidad de los sitios. Cómo leer los datos.