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Julie Joyce on Muck Rack

Julie Joyce

Greensboro
As seen in: Search Engine Land, Wiley Online Library, PLOS Medicine, MDPI, Search Engine Journal, Search Engine Watch, Park Record, bp Magazine, Archives of Physical Medicine and Rehabilitation
Owner of the link building company Link Fish Media, Inc. On my second spoon rack. Censored by NextDoor. Dance the ghost with me. She/her.
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Articles

29 Sources Of Free Data To Support Content Marketing

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By Julie Joyce, Loren Baker, Jenise Uehara Henrikson, Brent Csutoras
| Search Engine Journal Verified
Data is a critical component of SEO content strategy. Basing your writing on reliable data shows a commitment to accuracy, building your authority and credibility in readers’ eyes. This approach to content and accuracy maps to the signals that search engines use to determine things like E-E-A-T. Using good data increases the quality of your content and also helps your audience navigate misinformation. Luckily, you absolutely can find data that is both free and trustworthy.
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When To Use Nofollow On Links & When Not To

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By Julie Joyce, Screaming FrogSemrushAhrefsMajestic
| Search Engine Journal Verified
Nofollow was introduced back in 2005 and came about as a reaction to blog spam comments. Believe it or not, SEO professionals used to try and manipulate Google’s PageRank on their sites just as they try to manipulate, well, everything. Nofollow basically tells Google (or any other search engine that supports this attribute) not to vouch for the target link. Whereas it was previously used in the page-level meta tag (), it’s much more common to see it used on a per-link basis now.
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A novel automated pipeline to assess MR spectroscopy quality control: Comparing current standards and manual assessment

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By Julie Joyce, Bodhi Beroukhim, Skyler McComas, Luisa S. Schuhmacher
| Wiley Online Library Verified
Background and Purpose The absence of a consensus data quality control (DQC) process inhibits the widespread adoption of MR spectroscopy. Poor DQC can lead to unreliable clinical diagnosis and irreproducible research conclusions. Currently, manual visual assessment or the standard quantitative metrics of signal-to-noise, linewidth, and model fit are used as classifiers, but these measures may not be sufficient.
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