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Ribosomal accretion, apriorism and the phylogenetic method: a response to Petrov and Williams

Overview of attention for article published in Frontiers in Genetics, June 2015
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Title
Ribosomal accretion, apriorism and the phylogenetic method: a response to Petrov and Williams
Published in
Frontiers in Genetics, June 2015
DOI 10.3389/fgene.2015.00194
Pubmed ID
Authors

Derek Caetano-Anollés, Gustavo Caetano-Anollés

Abstract

Historical (ideographic) and non-historical (nomothetic) studies of ribosomal accretion appear to arrive at diametrically opposite conclusions. Phylogenetic analysis of thousands of RNA molecules and protein structures in hundreds of genomes supports the structural origin of the ribosome in RNA decoding and ribosomal mechanics. Predictions from extant features in a handful of rRNA structural models of the large ribosomal subunit support its origin in protein biosynthesis. In recent correspondence, one of us reported that correcting dismissals of conflicting data and avoiding unwarranted assumptions of the nomothetic method reconciled conclusions. In response, Petrov and Williams dismissed our arguments claiming we did not understand their algorithmic model of ribosomal apical growth. Instead, they controverted the historical approach. Here we show that their objections to the phylogenetic method are unjustified, that their algorithm subjectively guarantees back-in-time molecular deconstructions toward the protein biosynthetic core, and that processes of ribosomal growth are much more complex. We prompt abandoning apriorism, decreasing ad hoc hypotheses and integrating historical and non-historical scientific methods.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 25%
Researcher 3 19%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Professor 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Biochemistry, Genetics and Molecular Biology 4 25%
Chemistry 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2015.
All research outputs
#13,434,323
of 22,803,211 outputs
Outputs from Frontiers in Genetics
#3,248
of 11,762 outputs
Outputs of similar age
#127,200
of 267,789 outputs
Outputs of similar age from Frontiers in Genetics
#55
of 94 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,762 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.