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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Distinct mobility patterns of BRCA2 molecules at DNA damage sites

Authors: Martinus W. Paul; Jesse Aaron; Eric Wait; Romano M. van Genderen; Ihor Smal; Teng-Leong Chew; Roland Kanaar; +1 Authors

Distinct mobility patterns of BRCA2 molecules at DNA damage sites

Abstract

This repository contains source data and processed data accompanied with the paper: "Distinct mobility patterns of BRCA2 molecules at DNA damage sites" The repository contains the following files: - Movies: This folder contains the movies that were used for 3D single-molecule tracking. As described in the methods section of the paper, each movie consists of a 3D stack of 9 image planes that were registered using fluorescence beads from the original data. - Trajectories: These CSV files contain the results of 3D tracking using the Mosaic tracking plugin in ImageJ. Traj_* contains the tracking results where the column inMask column indicates whether a localization is inside the DNA damage mask. Traj_transformed_[1-3]_* contains the corresponding tracking data in which the mask was transformed, which was used as a control in the paper. - segment files: The data that was used in the subsequent R scripts. - segs_nest.Rdata is the same data as the segment files but in Rdata file format, to be imported in R For questions please contact Maarten Paul (m.w.paul [at] erasmusmc.nl)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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