Inferring the shape of data: a probabilistic framework for analysing experiments in the natural sciences is a research paper published in Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2022). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Department of Energy
Grant: DE-AC05-06OR23100
National Institute of General Medical Sciences
Grant: R01 GM 084288
National Institute of General Medical Sciences
Grant: R01 GM 128239
National Institute of General Medical Sciences
Grant: R01 GM 136960
National Institute of General Medical Sciences
Grant: R01 GM 137608
National Institute of General Medical Sciences
Grant: T32 GM 008281
National Science Foundation
Grant: CHE 2004016
National Science Foundation
Grant: CHE 2137630
National Science Foundation
Grant: 2004016
Label-Free, High-Time Resolution, Single-Molecule Studies of RNA Folding and Dynamics
National Institutes of Health
Grant: 5T32GM008281-12
TRAINING PROGRAM IN MOLECULAR BIOPHYSICS
National Institutes of Health
Grant: 5R01GM137608-03
The structural dynamics of ribosomal frameshifting and ribosome rescue
National Institutes of Health
Grant: 1R01GM128239-01A1
The mechanism through which mRNA translation enhancer elements drive cap-independent translation
National Science Foundation
Grant: 2137630
LEAPS-MPS: Accuracy and the Regulatory Reprogramming of Bacterial Chemosensing
National Institutes of Health
Grant: 3R01GM084288-11S1
A state-of-the-art, single-molecule fluorescence microscopy system for mechanistic studies of protein synthesis
FWCI
0.52
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Supplemental Materials from Inferring the shape of data: a probabilistic framework for analyzing experiments in the natural sciences
Supplemental Materials from Inferring the shape of data: a probabilistic framework for analyzing experiments in the natural sciences
Supplementary material from "Inferring the shape of data: a probabilistic framework for analyzing experiments in the natural sciences"
Supplementary material from "Inferring the shape of data: a probabilistic framework for analyzing experiments in the natural sciences"