↓ Skip to main content

Michigan Publishing

Article Metrics

SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics

Overview of attention for article published in Methods, September 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 2,280)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
34 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
35 Mendeley
Title
SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics
Published in
Methods, September 2021
DOI 10.1016/j.ymeth.2020.03.008
Pubmed ID
Authors

Joshua D. Karslake, Eric D. Donarski, Sarah A. Shelby, Lucas M. Demey, Victor J. DiRita, Sarah L. Veatch, Julie S. Biteen

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 6 17%
Researcher 4 11%
Professor 3 9%
Professor > Associate Professor 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 34%
Engineering 6 17%
Agricultural and Biological Sciences 4 11%
Physics and Astronomy 3 9%
Chemistry 3 9%
Other 3 9%
Unknown 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 27 July 2021.
All research outputs
#1,261,598
of 18,812,015 outputs
Outputs from Methods
#29
of 2,280 outputs
Outputs of similar age
#33,205
of 286,425 outputs
Outputs of similar age from Methods
#2
of 38 outputs
Altmetric has tracked 18,812,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,280 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 286,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.