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Gene-trait matching across the Bifidobacterium longum pan-genome reveals considerable diversity in carbohydrate catabolism among human infant strains

Overview of attention for article published in BMC Genomics, January 2018
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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 (97th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
4 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Gene-trait matching across the Bifidobacterium longum pan-genome reveals considerable diversity in carbohydrate catabolism among human infant strains
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4388-9
Pubmed ID
Authors

Silvia Arboleya, Francesca Bottacini, Mary O’Connell-Motherway, C. Anthony Ryan, R. Paul Ross, Douwe van Sinderen, Catherine Stanton

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 20%
Student > Master 26 19%
Student > Bachelor 15 11%
Student > Ph. D. Student 15 11%
Other 11 8%
Other 16 11%
Unknown 29 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 29%
Biochemistry, Genetics and Molecular Biology 22 16%
Immunology and Microbiology 13 9%
Computer Science 5 4%
Chemistry 5 4%
Other 21 15%
Unknown 34 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 05 December 2023.
All research outputs
#1,628,195
of 25,998,826 outputs
Outputs from BMC Genomics
#300
of 11,400 outputs
Outputs of similar age
#36,684
of 456,628 outputs
Outputs of similar age from BMC Genomics
#5
of 219 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 456,628 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 219 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.