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Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development

Overview of attention for article published in BMC Neurology, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 1,992)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

3 news outlets
17 tweeters


41 Dimensions

Readers on

164 Mendeley
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Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development
Published in
BMC Neurology, April 2017
DOI 10.1186/s12883-017-0846-x
Pubmed ID

Christopher A. Lane, Thomas D. Parker, Dave M. Cash, Kirsty Macpherson, Elizabeth Donnachie, Heidi Murray-Smith, Anna Barnes, Suzie Barker, Daniel G. Beasley, Jose Bras, David Brown, Ninon Burgos, Michelle Byford, M. Jorge Cardoso, Ana Carvalho, Jessica Collins, Enrico De Vita, John C. Dickson, Norah Epie, Miklos Espak, Susie M. D. Henley, Chandrashekar Hoskote, Michael Hutel, Jana Klimova, Ian B. Malone, Pawel Markiewicz, Andrew Melbourne, Marc Modat, Anette Schrag, Sachit Shah, Nikhil Sharma, Carole H. Sudre, David L. Thomas, Andrew Wong, Hui Zhang, John Hardy, Henrik Zetterberg, Sebastien Ourselin, Sebastian J. Crutch, Diana Kuh, Marcus Richards, Nick C. Fox, Jonathan M. Schott


Increasing age is the biggest risk factor for dementia, of which Alzheimer's disease is the commonest cause. The pathological changes underpinning Alzheimer's disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography and multi-modal magnetic resonance imaging allow key pathological processes underpinning cognitive impairment - including β-amyloid depostion, vascular disease, network breakdown and atrophy - to be assessed repeatedly and non-invasively. This enables potential determinants of dementia to be delineated earlier, and therefore opens a pre-symptomatic window where intervention may prevent the onset of cognitive symptoms. This paper outlines the clinical, cognitive and imaging protocol of "Insight 46", a neuroscience sub-study of the MRC National Survey of Health and Development. This is one of the oldest British birth cohort studies and has followed 5362 individuals since their birth in England, Scotland and Wales during one week in March 1946. These individuals have been tracked in 24 waves of data collection incorporating a wide range of health and functional measures, including repeat measures of cognitive function. Now aged 71 years, a small fraction have overt dementia, but estimates suggest that ~1/3 of individuals in this age group may be in the preclinical stages of Alzheimer's disease. Insight 46 is recruiting 500 study members selected at random from those who attended a clinical visit at 60-64 years and on whom relevant lifecourse data are available. We describe the sub-study design and protocol which involves a prospective two time-point (0, 24 month) data collection covering clinical, neuropsychological, β-amyloid positron emission tomography and magnetic resonance imaging, biomarker and genetic information. Data collection started in 2015 (age 69) and aims to be completed in 2019 (age 73). Through the integration of data on the socioeconomic environment and on physical, psychological and cognitive function from 0 to 69 years, coupled with genetics, structural and molecular imaging, and intensive cognitive and neurological phenotyping, Insight 46 aims to identify lifetime factors which influence brain health and cognitive ageing, with particular focus on Alzheimer's disease and cerebrovascular disease. This will provide an evidence base for the rational design of disease-modifying trials.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 17%
Student > Ph. D. Student 26 16%
Student > Master 24 15%
Student > Bachelor 10 6%
Student > Doctoral Student 9 5%
Other 25 15%
Unknown 42 26%
Readers by discipline Count As %
Medicine and Dentistry 29 18%
Neuroscience 21 13%
Psychology 21 13%
Computer Science 9 5%
Engineering 7 4%
Other 29 18%
Unknown 48 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 22 January 2021.
All research outputs
of 18,304,658 outputs
Outputs from BMC Neurology
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Outputs of similar age
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Outputs of similar age from BMC Neurology
of 1 outputs
Altmetric has tracked 18,304,658 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,992 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 98% 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 275,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them