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High Throughput Sequencing and Network Analysis Disentangle the Microbial Communities of Ticks and Hosts Within and Between Ecosystems

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, July 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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30 X users

Citations

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55 Dimensions

Readers on

mendeley
112 Mendeley
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Title
High Throughput Sequencing and Network Analysis Disentangle the Microbial Communities of Ticks and Hosts Within and Between Ecosystems
Published in
Frontiers in Cellular and Infection Microbiology, July 2018
DOI 10.3389/fcimb.2018.00236
Pubmed ID
Authors

Agustín Estrada-Peña, Alejandro Cabezas-Cruz, Thomas Pollet, Muriel Vayssier-Taussat, Jean-François Cosson

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Researcher 23 21%
Student > Master 15 13%
Student > Doctoral Student 10 9%
Student > Bachelor 8 7%
Other 11 10%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 45%
Biochemistry, Genetics and Molecular Biology 11 10%
Environmental Science 5 4%
Veterinary Science and Veterinary Medicine 4 4%
Medicine and Dentistry 2 2%
Other 14 13%
Unknown 26 23%
Attention Score in Context

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 14 August 2019.
All research outputs
#2,567,672
of 26,515,106 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#459
of 8,490 outputs
Outputs of similar age
#48,384
of 343,227 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#6
of 116 outputs
Altmetric has tracked 26,515,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 94% 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 343,227 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 85% of its contemporaries.
We're also able to compare this research output to 116 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 94% of its contemporaries.