Mentions
Extended reach
Total likes
Video views
AI synopsis
Several discussions reference the article by quoting its title, such as 'nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes,' with little additional commentary, indicating casual recognition rather than in-depth engagement. The tone and context suggest a general acknowledgment rather than significant enthusiasm or critique, which aligns with the moderate interest and impact scores.
The posts do not show strong disagreement or strong support; they mainly acknowledge the publication without explicit endorsement or criticism.
The interest score is modest because discussions simply mention the article title without deep analysis or critique.
The engagement appears superficial, with minimal interaction or elaboration beyond quoting or referencing the publication.
The perceived impact is moderate, as the posts suggest awareness but do not indicate widespread influence or application.
[Spatial transcriptomics Pipeline] nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes https://t.co/JIfgVKzSq0
面白そう: "nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes", https://t.co/ZZD20P0Nog
nnSVG is a novel method for detecting genes that vary in expression based on spatial location in tissue samples, utilizing nearest-neighbor Gaussian processes for continuous, precise identification. It is efficient and…
[Spatial transcriptomics Pipeline] nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes https://t.co/JIfgVKzSq0
RT @siero5335: 面白そう: "nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes", https:/…
面白そう: "nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes", https://t.co/ZZD20P0Nog