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RNA-seq and Tn-seq reveal fitness determinants of vancomycin-resistant Enterococcus faecium during growth in human serum

Overview of attention for article published in BMC Genomics, November 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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25 X users

Citations

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46 Dimensions

Readers on

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110 Mendeley
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Title
RNA-seq and Tn-seq reveal fitness determinants of vancomycin-resistant Enterococcus faecium during growth in human serum
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4299-9
Pubmed ID
Authors

Xinglin Zhang, Vincent de Maat, Ana M. Guzmán Prieto, Tomasz K. Prajsnar, Jumamurat R. Bayjanov, Mark de Been, Malbert R. C. Rogers, Marc J. M. Bonten, Stéphane Mesnage, Rob J. L. Willems, Willem van Schaik

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 18%
Student > Ph. D. Student 19 17%
Student > Master 18 16%
Student > Bachelor 13 12%
Student > Doctoral Student 10 9%
Other 9 8%
Unknown 21 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 21%
Agricultural and Biological Sciences 22 20%
Immunology and Microbiology 22 20%
Medicine and Dentistry 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 10 9%
Unknown 26 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 10 October 2018.
All research outputs
#2,891,672
of 25,711,518 outputs
Outputs from BMC Genomics
#867
of 11,306 outputs
Outputs of similar age
#60,549
of 447,775 outputs
Outputs of similar age from BMC Genomics
#15
of 219 outputs
Altmetric has tracked 25,711,518 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 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 447,775 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 86% of its contemporaries.
We're also able to compare this research output to 219 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 93% of its contemporaries.