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wan-lab-vanderbilt/STOPGAP: STOPGAP 0.7.3

Authors: William Wan;

wan-lab-vanderbilt/STOPGAP: STOPGAP 0.7.3

Abstract

STOPGAP is a subtomogram averaging workflow written in MATLAB for performing a number of subtomogram averaging tasks including template matching, high-resolution alignment and averaging, and classification. Supplied is the source code, a set of example bash scripts, and instructions on how to compile and run STOPGAP. Pre-compiled binaries are also supplied; these were compiled using MATLAB R2020b. STOPGAP is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. STOPGAP is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average