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WebMGA: a customizable web server for fast metagenomic sequence analysis

Overview of attention for article published in BMC Genomics, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
566 Dimensions

Readers on

mendeley
434 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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Title
WebMGA: a customizable web server for fast metagenomic sequence analysis
Published in
BMC Genomics, September 2011
DOI 10.1186/1471-2164-12-444
Pubmed ID
Authors

Sitao Wu, Zhengwei Zhu, Liming Fu, Beifang Niu, Weizhong Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 434 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Brazil 4 <1%
Italy 2 <1%
Canada 2 <1%
Spain 2 <1%
Denmark 2 <1%
Germany 2 <1%
South Africa 2 <1%
Sweden 1 <1%
Other 11 3%
Unknown 401 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 23%
Researcher 84 19%
Student > Master 58 13%
Student > Doctoral Student 28 6%
Student > Bachelor 27 6%
Other 68 16%
Unknown 68 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 210 48%
Biochemistry, Genetics and Molecular Biology 78 18%
Immunology and Microbiology 15 3%
Computer Science 12 3%
Environmental Science 9 2%
Other 25 6%
Unknown 85 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 November 2019.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from BMC Genomics
#3,261
of 11,367 outputs
Outputs of similar age
#41,770
of 139,249 outputs
Outputs of similar age from BMC Genomics
#30
of 89 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 139,249 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 67% of its contemporaries.
We're also able to compare this research output to 89 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 65% of its contemporaries.