↓ Skip to main content

Genetic Characterization of Measles and Rubella Viruses Detected Through Global Measles and Rubella Elimination Surveillance, 2016–2018

Overview of attention for article published in MMWR: Morbidity & Mortality Weekly Report, July 2019
Altmetric Badge

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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
1 news outlet
twitter
57 X users
facebook
4 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
62 Mendeley
Title
Genetic Characterization of Measles and Rubella Viruses Detected Through Global Measles and Rubella Elimination Surveillance, 2016–2018
Published in
MMWR: Morbidity & Mortality Weekly Report, July 2019
DOI 10.15585/mmwr.mm6826a3
Pubmed ID
Authors

Kevin E. Brown, Paul A. Rota, James L. Goodson, David Williams, Emily Abernathy, Makoto Takeda, Mick N. Mulders

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 9 15%
Student > Bachelor 9 15%
Student > Ph. D. Student 6 10%
Student > Postgraduate 5 8%
Other 7 11%
Unknown 16 26%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Biochemistry, Genetics and Molecular Biology 7 11%
Nursing and Health Professions 7 11%
Agricultural and Biological Sciences 6 10%
Immunology and Microbiology 4 6%
Other 6 10%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 December 2023.
All research outputs
#926,887
of 25,759,158 outputs
Outputs from MMWR: Morbidity & Mortality Weekly Report
#1,768
of 4,279 outputs
Outputs of similar age
#19,703
of 363,264 outputs
Outputs of similar age from MMWR: Morbidity & Mortality Weekly Report
#28
of 65 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 336.2. This one has gotten more attention than average, scoring higher than 58% 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 363,264 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 94% of its contemporaries.
We're also able to compare this research output to 65 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 56% of its contemporaries.