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#Exaly

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Serhii Nazarovets<p><span class="h-card" translate="no"><a href="https://fnordon.de/@bleistifterin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>bleistifterin</span></a></span> <span class="h-card" translate="no"><a href="https://scholar.social/@Lambo" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Lambo</span></a></span> <span class="h-card" translate="no"><a href="https://nfdi.social/@NFDI" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>NFDI</span></a></span> </p><p><a href="https://mstdn.science/tags/Exaly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Exaly</span></a> is something strange and suspicious, but foremost, we must not confuse indicators and databases used to research evaluation. As an alternative to impact factors etc., I really like The Norwegian Model by Gunnar Sivertsen: <a href="https://link.springer.com/chapter/10.1007/978-3-319-29016-4_7" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/chapter/10.1</span><span class="invisible">007/978-3-319-29016-4_7</span></a></p>
hauschke<p><span class="h-card" translate="no"><a href="https://scholar.social/@Lambo" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Lambo</span></a></span> <span class="h-card" translate="no"><a href="https://fnordon.de/@bleistifterin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>bleistifterin</span></a></span> <span class="h-card" translate="no"><a href="https://nfdi.social/@NFDI" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>NFDI</span></a></span> </p><p>Laut <a href="https://mastodon.social/tags/Exaly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Exaly</span></a> hat <span class="h-card" translate="no"><a href="https://mstdn.social/@soeren_auer" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>soeren_auer</span></a></span> ungefähr ein Viertel der Zitationen, die er tatsächlich hat und ich arbeite angeblich in der Ukraine. Mehr Stichproben brauche ich gerade nicht um das als unzuverlässig zu erklären. 😉 </p><p><a href="https://mastodon.social/tags/COARA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>COARA</span></a> ist zu dem Thema die aktuell das relevanteste Dokument. Der passende Auszug siehe Screenshot, Volltext (PDF): <a href="https://coara.eu/app/uploads/2022/09/2022_07_19_rra_agreement_final.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">coara.eu/app/uploads/2022/09/2</span><span class="invisible">022_07_19_rra_agreement_final.pdf</span></a></p>
Bleistifterin<p>Ich recherchiere gerade den ganzen Tag den Impact Factor wissenschaftlicher Journals hinterher, denn obwohl diese Metriken nur bedingt aussagekräftig sind und der IF proprietär von Clarivate ermittelt wird und bspw viele insbesondere Open Access Journals gar nicht erfasst -- im Moment müssen wir sie (noch) nutzen bspw für die Re-Akkreditierung.</p><p>Gibt es da bessere Möglichkeiten?<br>Was hat es bspw mit <a href="https://fnordon.de/tags/exaly" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>exaly</span></a> auf sich?<br>Wer steckt dahinter? Ist das zuverlässig? Wer weiß was?<br><span class="h-card" translate="no"><a href="https://scholar.social/@Lambo" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Lambo</span></a></span> ? <span class="h-card" translate="no"><a href="https://nfdi.social/@NFDI" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>NFDI</span></a></span> ?</p>
devSJR :python: :rstats:<p><span class="h-card" translate="no"><a href="https://fosstodon.org/@mattkram" class="u-url mention">@<span>mattkram</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@joss" class="u-url mention">@<span>joss</span></a></span> one issue for the wider audience is that <a href="https://fosstodon.org/tags/JOSS" class="mention hashtag" rel="tag">#<span>JOSS</span></a> is not included in all databases (e.g. <a href="https://fosstodon.org/tags/pubmed" class="mention hashtag" rel="tag">#<span>pubmed</span></a>), thus it has less visibility. Moreover, it not indexed in <a href="https://fosstodon.org/tags/scopus" class="mention hashtag" rel="tag">#<span>scopus</span></a> or <a href="https://fosstodon.org/tags/WOS" class="mention hashtag" rel="tag">#<span>WOS</span></a> to get &#39;&#39;meaningful&#39;&#39; measures like the <a href="https://fosstodon.org/tags/impactfactor" class="mention hashtag" rel="tag">#<span>impactfactor</span></a> .<br />For those who need numbers:<br /><a href="https://fosstodon.org/tags/Exaly" class="mention hashtag" rel="tag">#<span>Exaly</span></a> (<a href="https://exaly.com/journal/106890/journal-of-open-source-software" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">exaly.com/journal/106890/journ</span><span class="invisible">al-of-open-source-software</span></a>) and <a href="https://fosstodon.org/tags/googlescholar" class="mention hashtag" rel="tag">#<span>googlescholar</span></a> cover it.<br />However, I see the merits of their approach and can tell that the review/publishing process is <a href="https://fosstodon.org/tags/SOTA" class="mention hashtag" rel="tag">#<span>SOTA</span></a>.</p>