petersuber, to twitter
@petersuber@fediscience.org avatar

How are services adjusting to the decline of , especially ? Are they giving Twitter mentions less weight? Are they tracking mentions in other social-media platforms? If so, which platforms? Where do they think academics are going? Do they have good data?

#X
@academicchatter

petersuber, to twitter
@petersuber@fediscience.org avatar

New study: In some fields, make more than 70% of the (#X) mentions of research papers. "However, these are extreme cases, and the impact of [bot] activity on varies by speciality, with minimal influence in Arts & Humanities and Social Sciences. This research emphasizes the importance of distinguishing between specialties and disciplines when using Twitter as an altmetric."
https://arxiv.org/ftp/arxiv/papers/2310/2310.12741.pdf

elduvelle, to academicchatter
@elduvelle@neuromatch.social avatar

How can we make Altmetrics show Mastodon/ Fediverse interactions on top of the existing ones?

@academicchatter

williamgunn, to academia
@williamgunn@mastodon.social avatar

: Independent thinkers create scientific innovation: https://arxiv.org/abs/2301.02396

Also academia: Say anything slightly unorthodox about a cultural matter and you'll be disgraced and fired.

EASE, to random
@EASE@mstdn.science avatar

Journal performance beyond the . Cristina Huidiu at Elsevier (a former librarian) says responsible use of metrics - article metrics, journal metrics, & - can be business indicators to help publishers to make decisions.

Can get insights into impact beyond citations and trends in fields, from patents and funding.

Collaboration patterns of existing authors can show new directions of their work.

How can further context help • Funding data gives early indications of: - Funders changing focus towards specific disciplines - Universities (and researchers) working of topics before publications are planned Patent portfolio shows focus. Any interesting outliers?

petersuber, (edited ) to internet
@petersuber@fediscience.org avatar

Early in the pandemic (April 2020) I started what became a long thread on in academic .
https://twitter.com/petersuber/status/1252981139855355904

Starting today, I'm stopping it on Twitter and continuing it on .

Here's a rollup of the complete Twitter thread.
https://resee.it/tweet/1252981139855355904

Here's a nearly complete archived version in the @waybackmachine.
https://web.archive.org/web/20220908134128/https://twitter.com/petersuber/status/1252981139855355904

Watch this space for updates.


@academicchatter

🧵

petersuber,
@petersuber@fediscience.org avatar

Update. In political science, "journal articles authored exclusively by female scholars score 27% lower on average [on Altmetric Attention Scores, AAS] than exclusively male-authored outputs. However, men are also more likely to write articles with an AAS of zero. These patterns are shaped by the presence of high-scoring male 'superstars' whose research attracts much online attention."
https://link.springer.com/article/10.1057/s41304-023-00431-y

petersuber,
@petersuber@fediscience.org avatar

Update. In "mean [] scores are highest on average for mixed-gender authored items (30.54). Exclusively female-authored research generates, on average, the lowest scores (19.23) as compared to exclusively male-authored research (24.49)."
https://blogs.lse.ac.uk/impactofsocialsciences/2023/06/19/altmetric-scores-in-political-science-are-gendered-does-it-matter/

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