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Attention Score in Context
Title |
Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications
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Published in |
BMC Medical Research Methodology, April 2014
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DOI | 10.1186/1471-2288-14-54 |
Pubmed ID | |
Authors |
Giuliane J Lajos, Samira M Haddad, Ricardo P Tedesco, Renato Passini Jr, Tabata Z Dias, Marcelo L Nomura, Patrícia M Rheder, Maria H Sousa, Jose G Cecatti, for the Brazilian Multicenter Study on Preterm Birth study group |
Abstract |
Cluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 5% |
Unknown | 41 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 14% |
Student > Ph. D. Student | 5 | 12% |
Student > Postgraduate | 5 | 12% |
Student > Master | 5 | 12% |
Student > Bachelor | 3 | 7% |
Other | 9 | 21% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 47% |
Nursing and Health Professions | 5 | 12% |
Economics, Econometrics and Finance | 2 | 5% |
Social Sciences | 2 | 5% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 2 | 5% |
Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 May 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from BMC Medical Research Methodology
#1,438
of 2,008 outputs
Outputs of similar age
#128,035
of 226,943 outputs
Outputs of similar age from BMC Medical Research Methodology
#24
of 31 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,008 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 25th percentile – i.e., 25% 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 226,943 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.