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MOCAT: A Metagenomics Assembly and Gene Prediction Toolkit

Overview of attention for article published in PLOS ONE, October 2012
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
18 X users
patent
2 patents
facebook
2 Facebook pages

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
549 Mendeley
citeulike
13 CiteULike
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Title
MOCAT: A Metagenomics Assembly and Gene Prediction Toolkit
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047656
Pubmed ID
Authors

Jens Roat Kultima, Shinichi Sunagawa, Junhua Li, Weineng Chen, Hua Chen, Daniel R. Mende, Manimozhiyan Arumugam, Qi Pan, Binghang Liu, Junjie Qin, Jun Wang, Peer Bork

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 549 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
Germany 8 1%
France 5 <1%
Brazil 4 <1%
Japan 4 <1%
Sweden 3 <1%
Spain 3 <1%
Denmark 3 <1%
Belgium 3 <1%
Other 11 2%
Unknown 494 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 146 27%
Student > Ph. D. Student 129 23%
Student > Master 79 14%
Student > Bachelor 35 6%
Other 24 4%
Other 86 16%
Unknown 50 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 261 48%
Biochemistry, Genetics and Molecular Biology 94 17%
Computer Science 34 6%
Environmental Science 26 5%
Immunology and Microbiology 19 3%
Other 51 9%
Unknown 64 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 06 October 2020.
All research outputs
#2,108,773
of 23,864,690 outputs
Outputs from PLOS ONE
#26,633
of 203,926 outputs
Outputs of similar age
#14,407
of 177,303 outputs
Outputs of similar age from PLOS ONE
#494
of 4,761 outputs
Altmetric has tracked 23,864,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 203,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 86% 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 177,303 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 91% of its contemporaries.
We're also able to compare this research output to 4,761 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.