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ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle

Overview of attention for article published in Clinical and Translational Allergy, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

14 tweeters
3 Facebook pages


115 Dimensions

Readers on

503 Mendeley
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ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle
Published in
Clinical and Translational Allergy, December 2016
DOI 10.1186/s13601-016-0137-4
Pubmed ID

J. Bousquet, P. W. Hellings, I. Agache, A. Bedbrook, C. Bachert, K. C. Bergmann, M. Bewick, C. Bindslev-Jensen, S. Bosnic-Anticevitch, C. Bucca, D. P. Caimmi, P. A. M. Camargos, G. W. Canonica, T. Casale, N. H. Chavannes, A. A. Cruz, G. De Carlo, R. Dahl, P. Demoly, P. Devillier, J. Fonseca, W. J. Fokkens, N. A. Guldemond, T. Haahtela, M. Illario, J. Just, T. Keil, L. Klimek, P. Kuna, D. Larenas-Linnemann, M. Morais-Almeida, J. Mullol, R. Murray, R. Naclerio, R. E. O’Hehir, N. G. Papadopoulos, R. Pawankar, P. Potter, D. Ryan, B. Samolinski, H. J. Schunemann, A. Sheikh, F. E. R. Simons, C. Stellato, A. Todo-Bom, P. V. Tomazic, A. Valiulis, E. Valovirta, M. T. Ventura, M. Wickman, I. Young, A. Yorgancioglu, T. Zuberbier, W. Aberer, C. A. Akdis, M. Akdis, I. Annesi-Maesano, J. Ankri, I. J. Ansotegui, J. M. Anto, S. Arnavielhe, A. Asarnoj, H. Arshad, F. Avolio, I. Baiardini, C. Barbara, M. Barbagallo, E. D. Bateman, B. Beghé, E. H. Bel, K. S. Bennoor, M. Benson, A. Z. Białoszewski, T. Bieber, L. Bjermer, H. Blain, F. Blasi, A. L. Boner, M. Bonini, S. Bonini, I. Bosse, J. Bouchard, L. P. Boulet, R. Bourret, P. J. Bousquet, F. Braido, A. H. Briggs, C. E. Brightling, J. Brozek, R. Buhl, C. Bunu, E. Burte, A. Bush, F. Caballero-Fonseca, M. A. Calderon, T. Camuzat, V. Cardona, P. Carreiro-Martins, A. M. Carriazo, K. H. Carlsen, W. Carr, A. M. Cepeda Sarabia, M. Cesari, L. Chatzi, R. Chiron, T. Chivato, E. Chkhartishvili, A. G. Chuchalin, K. F. Chung, G. Ciprandi, J. Correia de Sousa, L. Cox, G. Crooks, A. Custovic, S. E. Dahlen, U. Darsow, T. Dedeu, D. Deleanu, J. A. Denburg, G. De Vries, A. Didier, A. T. Dinh-Xuan, D. Dokic, H. Douagui, G. Dray, R. Dubakiene, S. R. Durham, G. Du Toit, M. S. Dykewicz, P. Eklund, Y. El-Gamal, E. Ellers, R. Emuzyte, J. Farrell, A. Fink Wagner, A. Fiocchi, M. Fletcher, F. Forastiere, M. Gaga, A. Gamkrelidze, B. Gemicioğlu, J. E. Gereda, R. Gerth van Wick, S. González Diaz, I. Grisle, L. Grouse, Z. Gutter, M. A. Guzmán, B. Hellquist-Dahl, J. Heinrich, F. Horak, J. O’. B. Hourihane, M. Humbert, M. Hyland, G. Iaccarino, E. J. Jares, C. Jeandel, S. L. Johnston, G. Joos, O. Jonquet, K. S. Jung, M. Jutel, I. Kaidashev, M. Khaitov, O. Kalayci, A. F. Kalyoncu, P. Kardas, P. K. Keith, M. Kerkhof, H. A. M. Kerstjens, N. Khaltaev, M. Kogevinas, V. Kolek, G. H. Koppelman, M. L. Kowalski, M. Kuitunen, I. Kull, V. Kvedariene, B. Lambrecht, S. Lau, D. Laune, L. T. T. Le, P. Lieberman, B. Lipworth, J. Li, K. C. Lodrup Carlsen, R. Louis, C. Lupinek, W. MacNee, Y. Magar, A. Magnan, B. Mahboub, D. Maier, I. Majer, J. Malva, P. Manning, E. De Manuel Keenoy, G. D. Marshall, M. R. Masjedi, E. Mathieu-Dupas, M. Maurer, S. Mavale-Manuel, E. Melén, E. Melo-Gomes, E. O. Meltzer, J. Mercier, H. Merk, N. Miculinic, F. Mihaltan, B. Milenkovic, J. Millot-Keurinck, Y. Mohammad, I. Momas, R. Mösges, A. Muraro, L. Namazova-Baranova, R. Nadif, H. Neffen, K. Nekam, A. Nieto, B. Niggemann, L. Nogueira-Silva, M. Nogues, T. D. Nyembue, K. Ohta, Y. Okamoto, K. Okubo, M. Olive-Elias, S. Ouedraogo, P. Paggiaro, I. Pali-Schöll, S. Palkonen, P. Panzner, A. Papi, H. S. Park, G. Passalacqua, S. Pedersen, A. M. Pereira, O. Pfaar, R. Picard, B. Pigearias, I. Pin, D. Plavec, W. Pohl, T. A. Popov, F. Portejoie, D. Postma, L. K. Poulsen, D. Price, K. F. Rabe, F. Raciborski, G. Roberts, C. Robalo-Cordeiro, F. Rodenas, L. Rodriguez-Mañas, C. Rolland, M. Roman Rodriguez, A. Romano, J. Rosado-Pinto, N. Rosario, M. Rottem, M. Sanchez-Borges, J. Sastre-Dominguez, G. K. Scadding, N. Scichilone, P. Schmid-Grendelmeier, E. Serrano, M. Shields, V. Siroux, J. C. Sisul, I. Skrindo, H. A. Smit, D. Solé, T. Sooronbaev, O. Spranger, R. Stelmach, P. J. Sterk, T. Strandberg, J. Sunyer, C. Thijs, M. Triggiani, R. Valenta, A. Valero, M. van Eerd, E. van Ganse, M. van Hague, O. Vandenplas, L. L. Varona, B. Vellas, G. Vezzani, T. Vazankari, G. Viegi, T. Vontetsianos, M. Wagenmann, S. Walker, D. Y. Wang, U. Wahn, T. Werfel, B. Whalley, D. M. Williams, S. Williams, N. Wilson, J. Wright, B. P. Yawn, P. K. Yiallouros, O. M. Yusuf, A. Zaidi, H. J. Zar, M. E. Zernotti, L. Zhang, N. Zhong, M. Zidarn


The Allergic Rhinitis and its Impact on Asthma (ARIA) initiative commenced during a World Health Organization workshop in 1999. The initial goals were (1) to propose a new allergic rhinitis classification, (2) to promote the concept of multi-morbidity in asthma and rhinitis and (3) to develop guidelines with all stakeholders that could be used globally for all countries and populations. ARIA-disseminated and implemented in over 70 countries globally-is now focusing on the implementation of emerging technologies for individualized and predictive medicine. MASK [MACVIA (Contre les Maladies Chroniques pour un Vieillissement Actif)-ARIA Sentinel NetworK] uses mobile technology to develop care pathways for the management of rhinitis and asthma by a multi-disciplinary group and by patients themselves. An app (Android and iOS) is available in 20 countries and 15 languages. It uses a visual analogue scale to assess symptom control and work productivity as well as a clinical decision support system. It is associated with an inter-operable tablet for physicians and other health care professionals. The scaling up strategy uses the recommendations of the European Innovation Partnership on Active and Healthy Ageing. The aim of the novel ARIA approach is to provide an active and healthy life to rhinitis sufferers, whatever their age, sex or socio-economic status, in order to reduce health and social inequalities incurred by the disease.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 503 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 <1%
Sweden 1 <1%
Finland 1 <1%
Unknown 499 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 13%
Student > Master 58 12%
Professor 45 9%
Student > Ph. D. Student 42 8%
Other 39 8%
Other 120 24%
Unknown 136 27%
Readers by discipline Count As %
Medicine and Dentistry 168 33%
Nursing and Health Professions 28 6%
Social Sciences 27 5%
Pharmacology, Toxicology and Pharmaceutical Science 15 3%
Agricultural and Biological Sciences 12 2%
Other 88 17%
Unknown 165 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 November 2017.
All research outputs
of 23,310,485 outputs
Outputs from Clinical and Translational Allergy
of 677 outputs
Outputs of similar age
of 423,635 outputs
Outputs of similar age from Clinical and Translational Allergy
of 12 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 677 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 63% 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 423,635 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 81% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.