↓ Skip to main content

Trial-level characteristics associate with treatment effect estimates: a systematic review of meta-epidemiological studies

Overview of attention for article published in BMC Medical Research Methodology, June 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Trial-level characteristics associate with treatment effect estimates: a systematic review of meta-epidemiological studies
Published in
BMC Medical Research Methodology, June 2022
DOI 10.1186/s12874-022-01650-5
Pubmed ID
Authors

Huan Wang, Jinlu Song, Yali Lin, Wenjie Dai, Yinyan Gao, Lang Qin, Yancong Chen, Wilson Tam, Irene XY Wu, Vincent CH Chung

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Arts and Humanities 1 25%
Nursing and Health Professions 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%
Attention Score in Context

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 16 June 2022.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from BMC Medical Research Methodology
#1,726
of 2,001 outputs
Outputs of similar age
#309,149
of 437,429 outputs
Outputs of similar age from BMC Medical Research Methodology
#44
of 52 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,001 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 6th percentile – i.e., 6% 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 437,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.