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Stenotrophomonas comparative genomics reveals genes and functions that differentiate beneficial and pathogenic bacteria

Overview of attention for article published in BMC Genomics, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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5 X users
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1 patent
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1 research highlight platform

Citations

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81 Dimensions

Readers on

mendeley
166 Mendeley
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Title
Stenotrophomonas comparative genomics reveals genes and functions that differentiate beneficial and pathogenic bacteria
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-482
Pubmed ID
Authors

Peyman Alavi, Margaret R Starcher, Gerhard G Thallinger, Christin Zachow, Henry Müller, Gabriele Berg

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Netherlands 1 <1%
South Africa 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 157 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 19%
Student > Master 27 16%
Researcher 26 16%
Student > Bachelor 13 8%
Other 8 5%
Other 33 20%
Unknown 27 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 40%
Biochemistry, Genetics and Molecular Biology 27 16%
Medicine and Dentistry 9 5%
Immunology and Microbiology 7 4%
Engineering 5 3%
Other 19 11%
Unknown 32 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2021.
All research outputs
#5,309,630
of 25,374,647 outputs
Outputs from BMC Genomics
#2,072
of 11,244 outputs
Outputs of similar age
#48,955
of 242,959 outputs
Outputs of similar age from BMC Genomics
#46
of 272 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 242,959 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 79% of its contemporaries.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.