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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 8% |
| Spain | 1 | 8% |
| Romania | 1 | 8% |
| Austria | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Practitioners (doctors, other healthcare professionals) | 3 | 25% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 366 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 | 362 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 42 | 11% |
| Researcher | 40 | 11% |
| Student > Master | 38 | 10% |
| Other | 25 | 7% |
| Student > Ph. D. Student | 24 | 7% |
| Other | 92 | 25% |
| Unknown | 105 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 110 | 30% |
| Nursing and Health Professions | 28 | 8% |
| Social Sciences | 18 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 4% |
| Psychology | 13 | 4% |
| Other | 55 | 15% |
| Unknown | 127 | 35% |
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
#5,284,655
of 25,837,817 outputs
Outputs from Clinical and Translational Allergy
#318
of 765 outputs
Outputs of similar age
#89,281
of 384,396 outputs
Outputs of similar age from Clinical and Translational Allergy
#6
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 765 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 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 384,396 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 77% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.