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Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

Overview of attention for article published in Clinical and Translational Allergy, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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12 tweeters
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3 Facebook pages

Citations

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33 Dimensions

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301 Mendeley
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Title
Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)
Published in
Clinical and Translational Allergy, July 2016
DOI 10.1186/s13601-016-0116-9
Pubmed ID
Authors

J. Bousquet, J. Farrell, G. Crooks, P. Hellings, E. H. Bel, M. Bewick, N. H. Chavannes, J. Correia de Sousa, A. A. Cruz, T. Haahtela, G. Joos, N. Khaltaev, J. Malva, A. Muraro, M. Nogues, S. Palkonen, S. Pedersen, C. Robalo-Cordeiro, B. Samolinski, T. Strandberg, A. Valiulis, A. Yorgancioglu, T. Zuberbier, A. Bedbrook, W. Aberer, M. Adachi, A. Agusti, C. A. Akdis, M. Akdis, J. Ankri, A. Alonso, I. Annesi-Maesano, I. J. Ansotegui, J. M. Anto, S. Arnavielhe, H. Arshad, C. Bai, I. Baiardini, C. Bachert, A. K. Baigenzhin, C. Barbara, E. D. Bateman, B. Beghé, A. Ben Kheder, K. S. Bennoor, M. Benson, K. C. Bergmann, T. Bieber, C. Bindslev-Jensen, L. Bjermer, H. Blain, F. Blasi, A. L. Boner, M. Bonini, S. Bonini, S. Bosnic-Anticevitch, L. P. Boulet, R. Bourret, P. J. Bousquet, F. Braido, A. H. Briggs, C. E. Brightling, J. Brozek, R. Buhl, P. G. Burney, A. Bush, F. Caballero-Fonseca, D. Caimmi, M. A. Calderon, P. M. Calverley, P. A. M. Camargos, G. W. Canonica, T. Camuzat, K. H. Carlsen, W. Carr, A. Carriazo, T. Casale, A. M. Cepeda Sarabia, L. Chatzi, Y. Z. Chen, R. Chiron, E. Chkhartishvili, A. G. Chuchalin, K. F. Chung, G. Ciprandi, I. Cirule, L. Cox, D. J. Costa, A. Custovic, R. Dahl, S. E. Dahlen, U. Darsow, G. De Carlo, F. De Blay, T. Dedeu, D. Deleanu, E. De Manuel Keenoy, P. Demoly, J. A. Denburg, P. Devillier, A. Didier, A. T. Dinh-Xuan, R. Djukanovic, D. Dokic, H. Douagui, G. Dray, R. Dubakiene, S. R. Durham, M. S. Dykewicz, Y. El-Gamal, R. Emuzyte, L. M. Fabbri, M. Fletcher, A. Fiocchi, A. Fink Wagner, J. Fonseca, W. J. Fokkens, F. Forastiere, P. Frith, M. Gaga, A. Gamkrelidze, J. Garces, J. Garcia-Aymerich, B. Gemicioğlu, J. E. Gereda, S. González Diaz, M. Gotua, I. Grisle, L. Grouse, Z. Gutter, M. A. Guzmán, L. G. Heaney, B. Hellquist-Dahl, D. Henderson, A. Hendry, J. Heinrich, D. Heve, F. Horak, J. O’. B. Hourihane, P. Howarth, M. Humbert, M. E. Hyland, M. Illario, J. C. Ivancevich, J. R. Jardim, E. J. Jares, C. Jeandel, C. Jenkins, S. L. Johnston, O. Jonquet, K. Julge, K. S. Jung, J. Just, I. Kaidashev, M. R. Kaitov, O. Kalayci, A. F. Kalyoncu, T. Keil, P. K. Keith, L. Klimek, B. Koffi N’Goran, V. Kolek, G. H. Koppelman, M. L. Kowalski, I. Kull, P. Kuna, V. Kvedariene, B. Lambrecht, S. Lau, D. Larenas-Linnemann, D. Laune, L. T. T. Le, P. Lieberman, B. Lipworth, J. Li, K. Lodrup Carlsen, R. Louis, W. MacNee, Y. Magard, A. Magnan, B. Mahboub, A. Mair, I. Majer, M. J. Makela, P. Manning, S. Mara, G. D. Marshall, M. R. Masjedi, P. Matignon, M. Maurer, S. Mavale-Manuel, E. Melén, E. Melo-Gomes, E. O. Meltzer, A. Menzies-Gow, H. Merk, J. P. Michel, N. Miculinic, F. Mihaltan, B. Milenkovic, G. M. Y. Mohammad, M. Molimard, I. Momas, A. Montilla-Santana, M. Morais-Almeida, M. Morgan, R. Mösges, J. Mullol, S. Nafti, L. Namazova-Baranova, R. Naclerio, A. Neou, H. Neffen, K. Nekam, B. Niggemann, G. Ninot, T. D. Nyembue, R. E. O’Hehir, K. Ohta, Y. Okamoto, K. Okubo, S. Ouedraogo, P. Paggiaro, I. Pali-Schöll, P. Panzner, N. Papadopoulos, A. Papi, H. S. Park, G. Passalacqua, I. Pavord, R. Pawankar, R. Pengelly, O. Pfaar, R. Picard, B. Pigearias, I. Pin, D. Plavec, D. Poethig, W. Pohl, T. A. Popov, F. Portejoie, P. Potter, D. Postma, D. Price, K. F. Rabe, F. Raciborski, F. Radier Pontal, S. Repka-Ramirez, S. Reitamo, S. Rennard, F. Rodenas, J. Roberts, J. Roca, L. Rodriguez Mañas, C. Rolland, M. Roman Rodriguez, A. Romano, J. Rosado-Pinto, N. Rosario, L. Rosenwasser, M. Rottem, D. Ryan, M. Sanchez-Borges, G. K. Scadding, H. J. Schunemann, E. Serrano, P. Schmid-Grendelmeier, H. Schulz, A. Sheikh, M. Shields, N. Siafakas, Y. Sibille, T. Similowski, F. E. R. Simons, J. C. Sisul, I. Skrindo, H. A. Smit, D. Solé, T. Sooronbaev, O. Spranger, R. Stelmach, P. J. Sterk, J. Sunyer, C. Thijs, T. To, A. Todo-Bom, M. Triggiani, R. Valenta, A. L. Valero, E. Valia, E. Valovirta, E. Van Ganse, M. van Hage, O. Vandenplas, T. Vasankari, B. Vellas, J. Vestbo, G. Vezzani, P. Vichyanond, G. Viegi, C. Vogelmeier, T. Vontetsianos, M. Wagenmann, B. Wallaert, S. Walker, D. Y. Wang, U. Wahn, M. Wickman, D. M. Williams, S. Williams, 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, J. Mercier

Abstract

Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Sweden 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 297 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 13%
Professor 38 13%
Researcher 38 13%
Student > Ph. D. Student 20 7%
Other 18 6%
Other 78 26%
Unknown 69 23%
Readers by discipline Count As %
Medicine and Dentistry 104 35%
Nursing and Health Professions 23 8%
Social Sciences 18 6%
Pharmacology, Toxicology and Pharmaceutical Science 12 4%
Psychology 10 3%
Other 47 16%
Unknown 87 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 April 2017.
All research outputs
#2,291,705
of 13,090,166 outputs
Outputs from Clinical and Translational Allergy
#167
of 400 outputs
Outputs of similar age
#60,568
of 262,999 outputs
Outputs of similar age from Clinical and Translational Allergy
#1
of 2 outputs
Altmetric has tracked 13,090,166 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 400 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 58% 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 262,999 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 76% of its contemporaries.
We're also able to compare this research output to 2 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