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Genome-wide association studies of Shigella spp. and Enteroinvasive Escherichia coli isolates demonstrate an absence of genetic markers for prediction of disease severity

Overview of attention for article published in BMC Genomics, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Genome-wide association studies of Shigella spp. and Enteroinvasive Escherichia coli isolates demonstrate an absence of genetic markers for prediction of disease severity
Published in
BMC Genomics, February 2020
DOI 10.1186/s12864-020-6555-7
Pubmed ID
Authors

Amber C. A. Hendriks, Frans A. G. Reubsaet, A. M. D. ( Mirjam) Kooistra-Smid, John W. A. Rossen, Bas E. Dutilh, Aldert L. Zomer, Maaike J. C. van den Beld

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Ph. D. Student 7 14%
Researcher 6 12%
Student > Bachelor 3 6%
Professor 3 6%
Other 5 10%
Unknown 17 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 27%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 4 8%
Medicine and Dentistry 3 6%
Engineering 2 4%
Other 4 8%
Unknown 18 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 November 2021.
All research outputs
#6,682,652
of 25,217,627 outputs
Outputs from BMC Genomics
#2,618
of 11,194 outputs
Outputs of similar age
#134,111
of 469,953 outputs
Outputs of similar age from BMC Genomics
#50
of 230 outputs
Altmetric has tracked 25,217,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,194 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 469,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.