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Predicted Relative Metabolomic Turnover (PRMT): determining metabolic turnover from a coastal marine metagenomic dataset

Overview of attention for article published in Microbial Informatics and Experimentation, June 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
2 blogs
twitter
4 tweeters

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
185 Mendeley
citeulike
4 CiteULike
Title
Predicted Relative Metabolomic Turnover (PRMT): determining metabolic turnover from a coastal marine metagenomic dataset
Published in
Microbial Informatics and Experimentation, June 2011
DOI 10.1186/2042-5783-1-4
Authors

Peter E Larsen, Frank R Collart, Dawn Field, Folker Meyer, Kevin P Keegan, Christopher S Henry, John McGrath, John Quinn, Jack A Gilbert

Twitter Demographics

The data shown below were collected from the profiles of 4 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
Mexico 2 1%
Canada 2 1%
United Kingdom 2 1%
Sweden 2 1%
Portugal 1 <1%
Chile 1 <1%
India 1 <1%
Singapore 1 <1%
Other 6 3%
Unknown 155 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 31%
Researcher 53 29%
Professor > Associate Professor 11 6%
Student > Master 10 5%
Student > Postgraduate 9 5%
Other 37 20%
Unknown 8 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 47%
Biochemistry, Genetics and Molecular Biology 22 12%
Environmental Science 21 11%
Earth and Planetary Sciences 9 5%
Computer Science 7 4%
Other 21 11%
Unknown 18 10%

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 04 October 2013.
All research outputs
#425,842
of 8,083,256 outputs
Outputs from Microbial Informatics and Experimentation
#4
of 15 outputs
Outputs of similar age
#415,527
of 7,445,075 outputs
Outputs of similar age from Microbial Informatics and Experimentation
#4
of 15 outputs
Altmetric has tracked 8,083,256 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one scored the same or higher as 11 of them.
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 7,445,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.