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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, July 2014
|
| DOI | 10.3389/fnagi.2014.00149 |
| Pubmed ID | |
| Authors |
Svenja Caspers, Susanne Moebus, Silke Lux, Noreen Pundt, Holger Schütz, Thomas W. Mühleisen, Vincent Gras, Simon B. Eickhoff, Sandro Romanzetti, Tony Stöcker, Rüdiger Stirnberg, Mehmet E. Kirlangic, Martina Minnerop, Peter Pieperhoff, Ulrich Mödder, Samir Das, Alan C. Evans, Karl-Heinz Jöckel, Raimund Erbel, Sven Cichon, Markus M. Nöthen, Dieter Sturma, Andreas Bauer, N. Jon Shah, Karl Zilles, Katrin Amunts |
| Abstract |
The ongoing 1000 brains study (1000BRAINS) is an epidemiological and neuroscientific investigation of structural and functional variability in the human brain during aging. The two recruitment sources are the 10-year follow-up cohort of the German Heinz Nixdorf Recall (HNR) Study, and the HNR MultiGeneration Study cohort, which comprises spouses and offspring of HNR subjects. The HNR is a longitudinal epidemiological investigation of cardiovascular risk factors, with a comprehensive collection of clinical, laboratory, socioeconomic, and environmental data from population-based subjects aged 45-75 years on inclusion. HNR subjects underwent detailed assessments in 2000, 2006, and 2011, and completed annual postal questionnaires on health status. 1000BRAINS accesses these HNR data and applies a separate protocol comprising: neuropsychological tests of attention, memory, executive functions and language; examination of motor skills; ratings of personality, life quality, mood and daily activities; analysis of laboratory and genetic data; and state-of-the-art magnetic resonance imaging (MRI, 3 Tesla) of the brain. The latter includes (i) 3D-T1- and 3D-T2-weighted scans for structural analyses and myelin mapping; (ii) three diffusion imaging sequences optimized for diffusion tensor imaging, high-angular resolution diffusion imaging for detailed fiber tracking and for diffusion kurtosis imaging; (iii) resting-state and task-based functional MRI; and (iv) fluid-attenuated inversion recovery and MR angiography for the detection of vascular lesions and the mapping of white matter lesions. The unique design of 1000BRAINS allows: (i) comprehensive investigation of various influences including genetics, environment and health status on variability in brain structure and function during aging; and (ii) identification of the impact of selected influencing factors on specific cognitive subsystems and their anatomical correlates. |
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 % |
|---|---|---|
| Germany | 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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Turkey | 1 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 207 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 17% |
| Student > Ph. D. Student | 29 | 14% |
| Student > Master | 27 | 13% |
| Student > Doctoral Student | 21 | 10% |
| Unspecified | 12 | 6% |
| Other | 35 | 16% |
| Unknown | 52 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 36 | 17% |
| Neuroscience | 35 | 16% |
| Medicine and Dentistry | 26 | 12% |
| Unspecified | 12 | 6% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 32 | 15% |
| Unknown | 65 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 May 2018.
All research outputs
#3,058,590
of 22,758,963 outputs
Outputs from Frontiers in Aging Neuroscience
#1,496
of 4,747 outputs
Outputs of similar age
#31,646
of 226,893 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#14
of 77 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 66% 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 226,893 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.