Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Chemical Engineering | 3 | — | 0 | 3 | 3 100% |
| Gregory Rutledge | 3 | — | 0 | 3 | 3 100% |
| Department of Chemical Engineering | 3 | — | 0 | 17 | 17 100% |
| Ariel Furst | 3 | — | 0 | 3 | 3 100% |
| Katie Galloway | 2 | — | 0 | 3 | 3 100% |
| Kristala Prather | 2 | — | 0 | 2 | 2 100% |
| Paula T. Hammond | 2 | — | 0 | 2 | 2 100% |
| MIT : Department of Chemical Engineering | 2 | — | 0 | 10 | 10 100% |
| 2 | — | 0 | 4 | 4 100% | |
| Heather Kulik | 2 | — | 0 | 2 | 2 100% |
| Richard Braatz | 2 | — | 0 | 2 | 2 100% |
| Connor Coley | 2 | — | 0 | 2 | 2 100% |
| Paula Hammond | 2 | — | 0 | 2 | 2 100% |
| Ariel L. Furst | 1 | — | 0 | 1 | 1 100% |
| MIT Chemical Engineering | 1 | — | 0 | 1 | 1 100% |
| Klavs Jensen | 1 | — | 0 | 1 | 1 100% |
| Massachusetts Institute of Technology | 1 | — | 0 | 3 | 3 100% |
| Kristala L. Prather | 1 | — | 0 | 1 | 1 100% |
| Olsen | 1 | — | 0 | 1 | 1 100% |
| Katie E. Galloway, PhD | 1 | — | 0 | 1 | 1 100% |
| Visit Website | 1 | — | 0 | 2 | 2 100% |
| Daniel Blankschtein | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| William Green | 1 | — | 0 | 1 | 1 100% |
| Rutledge | 1 | — | 0 | 1 | 1 100% |
| https://cheme.mit.edu/profile/paul-i-barton/ | 1 | — | 0 | 1 | 1 100% |
| Paula T. Hammond, Ph.D. | 1 | — | 0 | 1 | 1 100% |
| Stephanopoulos George | 1 | — | 0 | 1 | 1 100% |
| Zachary Smith | 1 | — | 0 | 1 | 1 100% |
| Kwanghun Chung | 1 | — | 0 | 1 | 1 100% |
| https://cheme.mit.edu/profile/heather-j-kulik/ | 1 | — | 0 | 1 | 1 100% |
| Martin Zdenek Bazant | 1 | — | 0 | 2 | 2 100% |
| MIT Department of Chemical Engineering | 1 | — | 0 | 3 | 3 100% |
| Website | 1 | — | 0 | 1 | 1 100% |
| Kristala Jones Prather | 1 | — | 0 | 1 | 1 100% |
| Charles L. Cooney | 1 | — | 0 | 1 | 1 100% |
| Στεφανόπουλος Γεώργιος | 1 | — | 0 | 1 | 1 100% |
| Karthish Manthiram | 1 | — | 0 | 1 | 1 100% |
| Hadley D. Sikes – MIT Chemical Engineering | 1 | — | 0 | 1 | 1 100% |
| Click for Details. | 1 | — | 0 | 1 | 1 100% |
| Rising Stars in Chemical Engineering | 1 | — | 0 | 1 | 1 100% |
| Kristala L.J. Prather | 1 | — | 0 | 1 | 1 100% |
| https://cheme.mit.edu/profile/richard-d-braatz/ | 1 | — | 0 | 1 | 1 100% |
| Chemical Engineering Application Mentorship Program (ChAMP) | 1 | — | 0 | 1 | 1 100% |
| Allan Myerson | 1 | — | 0 | 1 | 1 100% |
| https://cheme.mit.edu/profile/fikile-r-brushett/ | 1 | — | 0 | 1 | 1 100% |
| Dr. Paula T. Hammond | 1 | — | 0 | 2 | 2 100% |
| Michael Strano | 1 | — | 0 | 1 | 1 100% |
| Στεφανόπουλος Γρηγόρης | 1 | — | 0 | 1 | 1 100% |
| https://cheme.mit.edu/profile/patrick-s-doyle/ | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to cheme.mit.edu?
This page shows all anchor texts found in backlinks pointing to cheme.mit.edu, 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 cheme.mit.edu.
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 cheme.mit.edu have?
The anchor text report for cheme.mit.edu 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.