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MetaAnalyst: a user-friendly tool for metagenomic biomarker detection and phenotype classification

Overview of attention for article published in BMC Medical Research Methodology, December 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
8 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
MetaAnalyst: a user-friendly tool for metagenomic biomarker detection and phenotype classification
Published in
BMC Medical Research Methodology, December 2022
DOI 10.1186/s12874-022-01812-5
Pubmed ID
Authors

Mustafa Alshawaqfeh, Salahelden Rababah, Abdullah Hayajneh, Ammar Gharaibeh, Erchin Serpedin

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Professor 1 17%
Researcher 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 17%
Unspecified 1 17%
Agricultural and Biological Sciences 1 17%
Design 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 December 2023.
All research outputs
#4,775,734
of 25,197,939 outputs
Outputs from BMC Medical Research Methodology
#762
of 2,246 outputs
Outputs of similar age
#97,117
of 476,341 outputs
Outputs of similar age from BMC Medical Research Methodology
#14
of 54 outputs
Altmetric has tracked 25,197,939 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,246 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 65% 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 476,341 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 78% of its contemporaries.
We're also able to compare this research output to 54 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 72% of its contemporaries.