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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

  • 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 (91st percentile)

Mentioned by

policy
1 policy source
twitter
13 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
43 Mendeley
Summary Policy documents Twitter Dimensions citations
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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
32041522
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

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Researcher 7 16%
Student > Ph. D. Student 7 16%
Professor 3 7%
Student > Bachelor 3 7%
Other 5 12%
Unknown 11 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Agricultural and Biological Sciences 5 12%
Immunology and Microbiology 4 9%
Medicine and Dentistry 3 7%
Engineering 2 5%
Other 5 12%
Unknown 12 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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
#2,675,225
of 23,323,574 outputs
Outputs from BMC Genomics
#865
of 10,742 outputs
Outputs of similar age
#66,232
of 456,812 outputs
Outputs of similar age from BMC Genomics
#20
of 232 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 456,812 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 232 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 91% of its contemporaries.

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