Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| apoio | 34 | — | 0 | 83 | 80 96.4% |
| 28 | — | 0 | 191 | 191 100% | |
| apoiado | 25 | — | 0 | 55 | 55 100% |
| projeto | 16 | — | 0 | 38 | 38 100% |
| apoio da FAPESP | 13 | — | 0 | 27 | 27 100% |
| FAPESP | 11 | — | 0 | 16 | 13 81.2% |
| Centro de Pesquisa em Doenças Inflamatórias | 10 | — | 0 | 11 | 11 100% |
| bolsa | 10 | — | 0 | 25 | 25 100% |
| doutorado | 10 | — | 0 | 17 | 15 88.2% |
| Centro de Pesquisa em Alimentos | 10 | — | 0 | 14 | 14 100% |
| Biblioteca Virtual | 10 | — | 0 | 13066 | 13066 100% |
| bolsista | 9 | — | 0 | 24 | 24 100% |
| apoiada | 9 | — | 0 | 10 | 10 100% |
| Projeto Temático | 9 | — | 0 | 12 | 12 100% |
| supported by FAPESP | 9 | — | 0 | 37 | 34 91.9% |
| apoiada pela FAPESP | 8 | — | 0 | 8 | 8 100% |
| financiado | 8 | — | 0 | 14 | 14 100% |
| Mayana Zatz | 7 | — | 0 | 8 | 7 87.5% |
| Tiago da Silva Alexandre | 7 | — | 0 | 7 | 7 100% |
| mestrado | 6 | — | 0 | 8 | 8 100% |
| Ester Sabino | 6 | — | 0 | 10 | 10 100% |
| Mauro Galetti | 6 | — | 0 | 6 | 6 100% |
| Diego Christofaro | 6 | — | 0 | 7 | 7 100% |
| Paulo Artaxo | 6 | — | 0 | 12 | 12 100% |
| Jean Paul Metzger | 6 | — | 0 | 10 | 10 100% |
| apoiado pela FAPESP | 6 | — | 0 | 15 | 15 100% |
| Helder Nakaya | 6 | — | 0 | 10 | 9 90% |
| Biblioteca Virtual da FAPESP | 6 | — | 0 | 48 | 48 100% |
| Dimas Covas | 5 | — | 0 | 5 | 5 100% |
| Fapesp | 5 | — | 0 | 8830 | 8830 100% |
| Carlos Gilberto Carlotti Junior | 5 | — | 0 | 6 | 6 100% |
| Paulo Saldiva | 5 | — | 0 | 6 | 6 100% |
| Virtual Library | 5 | — | 0 | 134 | 134 100% |
| Carlos Joly | 5 | — | 0 | 9 | 9 100% |
| apoyo de la FAPESP | 5 | — | 0 | 28 | 28 100% |
| Centro de Desenvolvimento de Materiais Funcionais | 5 | — | 0 | 12 | 12 100% |
| Linha do Tempo | 5 | — | 0 | 5474 | 5474 100% |
| pós-doutorado | 5 | — | 0 | 8 | 8 100% |
| financiamento | 4 | — | 0 | 4 | 4 100% |
| Alexander Turra | 4 | — | 0 | 4 | 3 75% |
| beca de la FAPESP | 4 | — | 0 | 11 | 11 100% |
| 18/14938-4 | 4 | — | 0 | 5 | 5 100% |
| Centro de Pesquisa de Processos Redox em Biomedicina | 4 | — | 0 | 4 | 4 100% |
| Helena Nader | 4 | — | 0 | 7 | 7 100% |
| José Marengo | 4 | — | 0 | 4 | 4 100% |
| Programa Pesquisa Inovativa em Pequenas Empresas | 4 | — | 0 | 5 | 5 100% |
| Francisco Laurindo | 4 | — | 0 | 4 | 4 100% |
| Hamilton Roschel | 4 | — | 0 | 4 | 4 100% |
| 18/22214-6 | 4 | — | 0 | 5 | 5 100% |
| Thematic Project | 4 | — | 0 | 5 | 5 100% |
Frequently Asked Questions
What anchor texts are used to link to bv.fapesp.br?
This page shows all anchor texts found in backlinks pointing to bv.fapesp.br, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe bv.fapesp.br.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does bv.fapesp.br have?
The anchor text report for bv.fapesp.br displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.