↓ Skip to main content

Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments

Overview of attention for article published in Frontiers in Cell and Developmental Biology, May 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments
Published in
Frontiers in Cell and Developmental Biology, May 2023
DOI 10.3389/fcell.2023.1151318
Pubmed ID
Authors

William S. Raymond, Sadaf Ghaffari, Luis U. Aguilera, Eric Ron, Tatsuya Morisaki, Zachary R. Fox, Michael P. May, Timothy J. Stasevich, Brian Munsky

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 June 2023.
All research outputs
#21,182,440
of 26,020,829 outputs
Outputs from Frontiers in Cell and Developmental Biology
#5,852
of 10,607 outputs
Outputs of similar age
#293,309
of 395,871 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#156
of 353 outputs
Altmetric has tracked 26,020,829 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 395,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 353 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.