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Differential dynamics of microbial community networks help identify microorganisms interacting with residue-borne pathogens: the case of Zymoseptoria tritici in wheat

Overview of attention for article published in Microbiome, August 2019
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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)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
38 X users

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Differential dynamics of microbial community networks help identify microorganisms interacting with residue-borne pathogens: the case of Zymoseptoria tritici in wheat
Published in
Microbiome, August 2019
DOI 10.1186/s40168-019-0736-0
Pubmed ID
Authors

Lydie Kerdraon, Matthieu Barret, Valérie Laval, Frédéric Suffert

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 11 13%
Student > Master 9 10%
Student > Doctoral Student 6 7%
Student > Bachelor 4 5%
Other 7 8%
Unknown 24 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 52%
Biochemistry, Genetics and Molecular Biology 6 7%
Environmental Science 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Arts and Humanities 1 1%
Other 4 5%
Unknown 25 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 20 November 2021.
All research outputs
#1,716,342
of 25,405,598 outputs
Outputs from Microbiome
#635
of 1,760 outputs
Outputs of similar age
#35,362
of 349,564 outputs
Outputs of similar age from Microbiome
#14
of 30 outputs
Altmetric has tracked 25,405,598 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 1,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one has gotten more attention than average, scoring higher than 63% 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 349,564 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 30 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 56% of its contemporaries.