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Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

Overview of attention for article published in Frontiers in Microbiology, February 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
68 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
169 Mendeley
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Title
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
Published in
Frontiers in Microbiology, February 2021
DOI 10.3389/fmicb.2021.635781
Pubmed ID
Authors

Isabel Moreno-Indias, Leo Lahti, Miroslava Nedyalkova, Ilze Elbere, Gennady Roshchupkin, Muhamed Adilovic, Onder Aydemir, Burcu Bakir-Gungor, Enrique Carrillo-de Santa Pau, Domenica D’Elia, Mahesh S. Desai, Laurent Falquet, Aycan Gundogdu, Karel Hron, Thomas Klammsteiner, Marta B. Lopes, Laura Judith Marcos-Zambrano, Cláudia Marques, Michael Mason, Patrick May, Lejla Pašić, Gianvito Pio, Sándor Pongor, Vasilis J. Promponas, Piotr Przymus, Julio Saez-Rodriguez, Alexia Sampri, Rajesh Shigdel, Blaz Stres, Ramona Suharoschi, Jaak Truu, Ciprian-Octavian Truică, Baiba Vilne, Dimitrios Vlachakis, Ercument Yilmaz, Georg Zeller, Aldert L. Zomer, David Gómez-Cabrero, Marcus J. Claesson

X Demographics

X Demographics

The data shown below were collected from the profiles of 68 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 23%
Student > Ph. D. Student 33 20%
Student > Master 15 9%
Student > Bachelor 11 7%
Professor 5 3%
Other 26 15%
Unknown 40 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 18%
Agricultural and Biological Sciences 27 16%
Immunology and Microbiology 13 8%
Computer Science 11 7%
Medicine and Dentistry 8 5%
Other 30 18%
Unknown 50 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 06 June 2022.
All research outputs
#1,013,496
of 25,837,817 outputs
Outputs from Frontiers in Microbiology
#558
of 29,714 outputs
Outputs of similar age
#28,624
of 454,786 outputs
Outputs of similar age from Frontiers in Microbiology
#25
of 991 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,714 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 454,786 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 93% of its contemporaries.
We're also able to compare this research output to 991 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.