Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Physical Science and Engineering (PSE) | 9 | — | 0 | 19 | 19 100% |
| Material Science and Engineering (MSE) | 9 | — | 0 | 11 | 11 100% |
| Earth Science and Engineering (ErSE) | 9 | — | 0 | 11 | 11 100% |
| Mechanical Engineering | 7 | — | 0 | 19 | 19 100% |
| Earth Science and Engineering | 7 | — | 0 | 19 | 19 100% |
| Mechanical Engineering (ME) | 6 | — | 0 | 8 | 8 100% |
| Energy Resources and Petroleum Engineering (ErPE) | 6 | — | 0 | 9 | 9 100% |
| Applied Physics | 6 | — | 0 | 10 | 10 100% |
| Applied Physics (AP) | 6 | — | 0 | 8 | 8 100% |
| Physical Science and Engineering Division | 6 | — | 0 | 56 | 56 100% |
| Chemistry (Chem) | 5 | — | 0 | 6 | 6 100% |
| Chemical Engineering (CE) | 5 | — | 0 | 6 | 6 100% |
| Physical Science and Engineering | 3 | — | 0 | 16 | 16 100% |
| Material Science and Engineering Program | 2 | — | 0 | 18 | 18 100% |
| PSE | 2 | — | 0 | 2 | 2 100% |
| Chemical Engineering | 2 | — | 0 | 4 | 4 100% |
| Physical Science and Engineering Division (PSE) | 1 | — | 0 | 2 | 2 100% |
| chemical science | 1 | — | 0 | 1 | 1 100% |
| Structure-dependent multiscale analysis of catalytic processes | 1 | — | 0 | 1 | 1 100% |
| Division of Physical science and Engineering | 1 | — | 0 | 1 | 1 100% |
| Explore Program | 1 | — | 0 | 20 | 20 100% |
| (PSE) | 1 | — | 0 | 2 | 2 100% |
| قسم العلوم والهندسة الفيزيائية | 1 | — | 0 | 37 | 37 100% |
| PSE Division | 1 | — | 0 | 197 | 197 100% |
| Physical Sciences and Engineering Division | 1 | — | 0 | 1 | 1 100% |
| PSE Physical Science and Engineering Division | 1 | — | 0 | 4 | 4 100% |
| Study @ PSE | 1 | — | 0 | 1 | 1 100% |
| Materials Science and Applied Physics | 1 | — | 0 | 2 | 2 100% |
| https://pse.kaust.edu.sa/home/2024/09/10/welcome-professor-anqi-wang-a-new-energy-vision-at-pse | 1 | — | 0 | 1 | 1 100% |
| mechanical engineering | 1 | — | 0 | 1 | 1 100% |
| PSE - Physical Science and Engineering Division | 1 | — | 0 | 1 | 1 100% |
| Thuwal | 1 | — | 0 | 1 | 1 100% |
| PSE - Physical Science and Engineering Division | 1 | — | 0 | 1 | 1 100% |
| هندسة وعلوم أنظمة الأرض | 1 | — | 0 | 1 | 0 0% |
| Material Science and Engineering | 1 | — | 0 | 3 | 3 100% |
| Earth science and engineering | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 2 | 2 100% | |
| Chemistry | 1 | — | 0 | 3 | 3 100% |
| Division of Physical Science and Engineering | 1 | — | 0 | 1 | 1 100% |
| Earth Systems Science and Engineering | 1 | — | 0 | 4 | 4 100% |
Frequently Asked Questions
What anchor texts are used to link to pse.kaust.edu.sa?
This page shows all anchor texts found in backlinks pointing to pse.kaust.edu.sa, 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 pse.kaust.edu.sa.
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 pse.kaust.edu.sa have?
The anchor text report for pse.kaust.edu.sa 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.