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Mendeley readers
Attention Score in Context
| Title |
Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study
|
|---|---|
| Published in |
BMC Medical Imaging, August 2012
|
| DOI | 10.1186/1471-2342-12-27 |
| Pubmed ID | |
| Authors |
Sima Chalavi, Andrew Simmons, Hildebrand Dijkstra, Gareth J Barker, A A T Simone Reinders |
| Abstract |
Multi-center magnetic resonance imaging (MRI) studies present an opportunity to advance research by pooling data. However, brain measurements derived from MR-images are susceptible to differences in MR-sequence parameters. It is therefore necessary to determine whether there is an interaction between the sequence parameters and the effect of interest, and to minimise any such interaction by careful choice of acquisition parameters. As an exemplar of the issues involved in multi-center studies, we present data from a study in which we aimed to optimize a set of volumetric MRI-protocols to define a protocol giving data that are consistent and reproducible across two centers and over time. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 84 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Master | 15 | 17% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Postgraduate | 8 | 9% |
| Professor > Associate Professor | 8 | 9% |
| Other | 23 | 26% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 18% |
| Neuroscience | 14 | 16% |
| Psychology | 10 | 11% |
| Engineering | 8 | 9% |
| Nursing and Health Professions | 7 | 8% |
| Other | 21 | 24% |
| Unknown | 12 | 14% |
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 08 October 2012.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#267
of 604 outputs
Outputs of similar age
#108,047
of 167,852 outputs
Outputs of similar age from BMC Medical Imaging
#7
of 9 outputs
Altmetric has tracked 23,881,329 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 604 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 46th percentile – i.e., 46% 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 167,852 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.