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Two new approaches for the visualisation of models for network meta-analysis

Overview of attention for article published in BMC Medical Research Methodology, March 2019
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Two new approaches for the visualisation of models for network meta-analysis
Published in
BMC Medical Research Methodology, March 2019
DOI 10.1186/s12874-019-0689-9
Pubmed ID
Authors

Martin Law, Navid Alam, Areti Angeliki Veroniki, Yi Yu, Dan Jackson

Twitter Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Ph. D. Student 3 17%
Student > Master 2 11%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 5 28%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Nursing and Health Professions 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Agricultural and Biological Sciences 1 6%
Mathematics 1 6%
Other 2 11%
Unknown 5 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 March 2019.
All research outputs
#11,056,335
of 14,556,858 outputs
Outputs from BMC Medical Research Methodology
#1,077
of 1,343 outputs
Outputs of similar age
#182,941
of 266,120 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 14,556,858 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,343 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 266,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them