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A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer

Overview of attention for article published in BMC Medicine, June 2014
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
74 Mendeley
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Title
A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer
Published in
BMC Medicine, June 2014
DOI 10.1186/1741-7015-12-93
Pubmed ID
Authors

Shannon Cope, Jie Zhang, Stephen Saletan, Brielan Smiechowski, Jeroen P Jansen, Peter Schmid

Abstract

The aim of this study is to outline a general process for assessing the feasibility of performing a valid network meta-analysis (NMA) of randomized controlled trials (RCTs) to synthesize direct and indirect evidence for alternative treatments for a specific disease population.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 20%
Student > Ph. D. Student 8 11%
Student > Master 8 11%
Student > Bachelor 7 9%
Other 7 9%
Other 13 18%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 29 39%
Biochemistry, Genetics and Molecular Biology 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Other 7 9%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 August 2023.
All research outputs
#2,380,443
of 24,363,506 outputs
Outputs from BMC Medicine
#1,564
of 3,750 outputs
Outputs of similar age
#23,761
of 232,517 outputs
Outputs of similar age from BMC Medicine
#34
of 57 outputs
Altmetric has tracked 24,363,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. 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 232,517 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 89% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.