Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Evaluating the association of TRPA1 gene polymorphisms with pain sensitivity3citations
  • 2022HMOX1 genetic polymorphisms and outcomes in infectious disease6citations
  • 2020The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research32citations
  • 2020The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research7citations
  • 2020Assessment and visualization of phenome-wide causal relationships using genetic data29citations
  • 2019Data Resource Profile38citations

Places of action

Chart of shared publication
Nickerson, Aidan
1 / 1 shared
Dunham, James
1 / 1 shared
Phillips, Keith
1 / 1 shared
Corbin, Laura
1 / 1 shared
Pickering, Anthony
1 / 1 shared
Hamilton, Fergus
1 / 1 shared
Mitchell, Ruth E.
1 / 1 shared
Ghazal, Peter
1 / 1 shared
Bowring, Claire E.
1 / 1 shared
Wells, Nicholas S.
1 / 1 shared
Crawford, Mike
1 / 1 shared
Haworth, Simon
3 / 3 shared
Northstone, Kate
2 / 3 shared
Smith, Daniel
2 / 2 shared
Wells, Nicholas
1 / 1 shared
Bowring, Claire
1 / 1 shared
Johansson, Ingegerd
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Renteria, Miguel E.
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Hwang, Daniel Liang-Dar
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Holgerson, Pernilla Lif
1 / 1 shared
Kho, Pik-Fang
1 / 1 shared
Cuellar-Partida, Gabriel
1 / 1 shared
Thomas, Richard
1 / 2 shared
Hansell, Anna L.
1 / 1 shared
Gulliver, John
1 / 1 shared
Hicks, Lucy Mary
1 / 1 shared
Griggs, Rebecca
1 / 1 shared
Hey, Joshua Vande
1 / 1 shared
Taylor, Caroline
1 / 1 shared
Doerner, Rita
1 / 1 shared
Fecht, Daniela
1 / 1 shared
Henderson, John
1 / 1 shared
Macleod, John
1 / 5 shared
Golding, Jean
1 / 1 shared
Boyd, Andy
1 / 1 shared
Morris, Tim
1 / 1 shared
Lawlor, Debbie A.
1 / 2 shared
Chart of publication period
2022
2020
2019

Co-Authors (by relevance)

  • Nickerson, Aidan
  • Dunham, James
  • Phillips, Keith
  • Corbin, Laura
  • Pickering, Anthony
  • Hamilton, Fergus
  • Mitchell, Ruth E.
  • Ghazal, Peter
  • Bowring, Claire E.
  • Wells, Nicholas S.
  • Crawford, Mike
  • Haworth, Simon
  • Northstone, Kate
  • Smith, Daniel
  • Wells, Nicholas
  • Bowring, Claire
  • Johansson, Ingegerd
  • Renteria, Miguel E.
  • Hwang, Daniel Liang-Dar
  • Holgerson, Pernilla Lif
  • Kho, Pik-Fang
  • Cuellar-Partida, Gabriel
  • Thomas, Richard
  • Hansell, Anna L.
  • Gulliver, John
  • Hicks, Lucy Mary
  • Griggs, Rebecca
  • Hey, Joshua Vande
  • Taylor, Caroline
  • Doerner, Rita
  • Fecht, Daniela
  • Henderson, John
  • Macleod, John
  • Golding, Jean
  • Boyd, Andy
  • Morris, Tim
  • Lawlor, Debbie A.
OrganizationsLocationPeople

article

The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research

  • Wells, Nicholas
  • Timpson, Nicholas
  • Haworth, Simon
  • Northstone, Kate
  • Smith, Daniel
  • Bowring, Claire
Abstract

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992. The resource provides an informative and efficient setting for collecting data on the current coronavirus 2019 (COVID-19) pandemic. In early March 2020, a questionnaire was developed in collaboration with other longitudinal population studies to ensure cross-cohort comparability. It targeted retrospective and current COVID-19 infection information (exposure assessment, symptom tracking and reported clinical outcomes) and the impact of both disease and mitigating measures implemented to manage the COVID-19 crisis more broadly. Data were collected on symptoms of COVID-19 and seasonal flu, travel prior to the pandemic, mental health and social, behavioural and lifestyle factors.<br/>The online questionnaire was deployed across the parent and offspring generations between the 9th April and 15th May 2020. 6807 participants completed the questionnaire (2706 original mothers, 1014 original fathers/partners, 2973 offspring (mean age ~28 years) and 114 partners of offspring). Eight (0.01%) participants (4 G0 and 4 G1) reported a positive test for COVID-19, 77 (1.13%; 28 G0 and 49 G1) reported that they had been told by a doctor they likely had COVID-19 and 865 (12.7%; 426 G0 and 439 G1) suspected that they have had COVID-19.Using algorithmically defined cases, we estimate that the predicted proportion of COVID-19 cases fell between 1.03% - 4.19% depending on timing of measurement during the period of reporting.<br/>Data from this first questionnaire will be complemented with at least two more follow-up questionnaires, linkage to health records and results of biological testing as they become available. Data has been released as: 1) a standard dataset containing all participant responses with key sociodemographic factors and 2) as a composite release coordinating data from the existing resource, thus enabling bespoke research across all areas supported by the study.

Topics
  • impedance spectroscopy
  • composite