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Statistical or biological significance?

Overview of attention for article published in BMC Biology, November 2015
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

1 blog
16 tweeters


3 Dimensions

Readers on

61 Mendeley
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Statistical or biological significance?
Published in
BMC Biology, November 2015
DOI 10.1186/s12915-015-0198-1
Pubmed ID

Emma Saxon


Oat plants grown at an agricultural research facility produce higher yields in Field 1 than in Field 2, under well fertilised conditions and with similar weather exposure; all oat plants in both fields are healthy and show no sign of disease. In this study, the authors hypothesised that the soil microbial community might be different in each field, and these differences might explain the difference in oat plant growth. They carried out a metagenomic analysis of the 16 s ribosomal 'signature' sequences from bacteria in 50 randomly located soil samples in each field to determine the composition of the bacterial community. The study identified >1000 species, most of which were present in both fields. The authors identified two plant growth-promoting species that were significantly reduced in soil from Field 2 (Student's t-test P < 0.05), and concluded that these species might have contributed to reduced yield.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Chile 1 2%
Sweden 1 2%
Canada 1 2%
Japan 1 2%
United States 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 28%
Student > Ph. D. Student 12 20%
Student > Master 11 18%
Professor 4 7%
Professor > Associate Professor 3 5%
Other 7 11%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 48%
Biochemistry, Genetics and Molecular Biology 9 15%
Medicine and Dentistry 4 7%
Environmental Science 3 5%
Computer Science 3 5%
Other 6 10%
Unknown 7 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 12 April 2018.
All research outputs
of 19,176,496 outputs
Outputs from BMC Biology
of 1,660 outputs
Outputs of similar age
of 297,417 outputs
Outputs of similar age from BMC Biology
of 108 outputs
Altmetric has tracked 19,176,496 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 1,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has gotten more attention than average, scoring higher than 68% 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 297,417 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 89% of its contemporaries.
We're also able to compare this research output to 108 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 74% of its contemporaries.