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Attention Score in Context
| Title |
Using Bonferroni, BIC and AIC to assess evidence for alternative biological pathways: covariate selection for the multilevel Embryo-Uterus model
|
|---|---|
| Published in |
BMC Medical Research Methodology, June 2013
|
| DOI | 10.1186/1471-2288-13-73 |
| Pubmed ID | |
| Authors |
Christos Stylianou, Andrew Pickles, Stephen A Roberts |
| Abstract |
IVF treatments for infertility involve the transfer of multiple embryos in any one treatment cycle. When data is available on individual embryos the outcomes of each embryo are only partially observed, as treatment outcome (live birth) is assessed at the patient level. Two-level Embryo-Uterus (EU) models have been developed which assume a biologically plausible mechanism and assume that effects are mediated directly through the embryo (E) and also through the uterine environment (U), represented by two sub-models. This approach potentially allows inference as to the association of patient variables with outcome. However, when the variable is measured at the patient level either additional decisions have to be made in the modelling process as to in which sub-model the variable should be included or some model selection algorithm has to be invoked. These uncertainties have limited the practical application of these models. |
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 % |
|---|---|---|
| Cyprus | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 5 | 31% |
| Unknown | 4 | 25% |
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 11 June 2013.
All research outputs
#15,272,977
of 22,711,645 outputs
Outputs from BMC Medical Research Methodology
#1,501
of 2,003 outputs
Outputs of similar age
#122,225
of 197,653 outputs
Outputs of similar age from BMC Medical Research Methodology
#20
of 23 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 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 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 197,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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.