Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| https://www.scm.com | 10 | — | 0 | 10 | 10 100% |
| ADF | 4 | — | 0 | 8 | 8 100% |
| 3 | — | 0 | 18 | 17 94.4% | |
| http://www.scm.com | 3 | — | 0 | 4 | 4 100% |
| ADF and ADFGUI | 2 | — | 0 | 2 | 2 100% |
| NMR | 2 | — | 0 | 2 | 2 100% |
| https://www.scm.com/amsterdam-modeling-suite/ | 2 | — | 0 | 2 | 2 100% |
| 英文教程库 | 1 | — | 0 | 1 | 0 0% |
| ADFprep: construct an ADF COSMO results file | 1 | — | 0 | 1 | 0 0% |
| 收缩变分DFT（CV(n)-DFT）用于单重态-三重态激发的计算 | 1 | — | 0 | 1 | 1 100% |
| https://www.scm.com/ | 1 | — | 0 | 1 | 1 100% |
| OLED workflows | 1 | — | 0 | 2 | 2 100% |
| TZ2P-J、QZ4P-J | 1 | — | 0 | 1 | 1 100% |
| 势能面探索与表征工具 | 1 | — | 0 | 1 | 1 100% |
| ACE-Reaction | 1 | — | 0 | 1 | 1 100% |
| Relativistic DFT | 1 | — | 0 | 1 | 1 100% |
| scm.com | 1 | — | 0 | 1 | 1 100% |
| Software for Chemistry and Materials (SCM) | 1 | — | 0 | 1 | 1 100% |
| CatalyticFOAM | 1 | — | 0 | 1 | 1 100% |
| 3D-RISM | 1 | — | 0 | 1 | 1 100% |
| r2SCAN-3c(STO) | 1 | — | 0 | 1 | 1 100% |
| ionic liquid parameters | 1 | — | 0 | 1 | 1 100% |
| 用户可以方便地创建MOF材料结构 | 1 | — | 0 | 1 | 1 100% |
| PyZacros | 1 | — | 0 | 1 | 1 100% |
| Software for Chemistry & Materials | 1 | — | 0 | 2 | 2 100% |
| 配体场DFT（LFDFT） | 1 | — | 0 | 1 | 1 100% |
| https://www.scm.com/adf-modeling-suite/wizard/organic-electronics/modeling | 1 | — | 0 | 1 | 1 100% |
| here | 1 | — | 0 | 1 | 0 0% |
| SCM | 1 | — | 0 | 1 | 1 100% |
| ADFreport: generate report | 1 | — | 0 | 1 | 0 0% |
| oil & gas | 1 | — | 0 | 1 | 1 100% |
| 控制fbMC的缩放 | 1 | — | 0 | 1 | 1 100% |
| The COSMO-RS Ionic Liquid Database ADFCRS-IL-2014 | 1 | — | 0 | 1 | 0 0% |
| 振动极化率 | 1 | — | 0 | 2 | 2 100% |
| organic electronics | 1 | — | 0 | 1 | 1 100% |
| nanoparticles | 1 | — | 0 | 1 | 1 100% |
| pyZacros | 1 | — | 0 | 1 | 1 100% |
| ADF workshop | 1 | — | 0 | 2 | 2 100% |
| all-electron basis sets | 1 | — | 0 | 1 | 1 100% |
| DFT | 1 | — | 0 | 1 | 1 100% |
| Fast estimates of COSMO-RS parameters | 1 | — | 0 | 1 | 1 100% |
| Scripting with COSMO-RS | 1 | — | 0 | 1 | 0 0% |
| X2C、RA-X2C | 1 | — | 0 | 1 | 1 100% |
| 分析振动圆二色谱 | 1 | — | 0 | 1 | 1 100% |
| solvent mixture optimization tool | 1 | — | 0 | 1 | 1 100% |
| heavy atoms | 1 | — | 0 | 1 | 1 100% |
| QSPR prediction of many physical properties | 1 | — | 0 | 1 | 1 100% |
| catalysis | 1 | — | 0 | 1 | 1 100% |
| https://www.scm.com/doc/Tutorials/ReaxFF/Bouncing_a_buckyball.html | 1 | — | 0 | 1 | 1 100% |
| ESR | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to scm.com?
This page shows all anchor texts found in backlinks pointing to scm.com, 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 scm.com.
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 scm.com have?
The anchor text report for scm.com 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.