Density-equalizing mapping and scientometric benchmarking of European allergy research
© Scutaru et al; licensee BioMed Central Ltd. 2010
Received: 26 November 2009
Accepted: 16 February 2010
Published: 16 February 2010
Due to the great socioeconomic burden of allergic diseases, research in this field which is important for environmental medicine is currently increasing. Therefore the European Union has initiated the Global Allergy and Asthma European network (GA2LEN). However, despite increasing research in the past years detailed scientometric analyses have not been conducted so far. This study is the first scientometric analysis in a field of growing interest. It analyses scientific contributions in European allergy research between 2001 and 2007. Three different meetings of the European Academy of Allergy and Clinical Immunology were analysed for contributions and an increase in both the amount of research and networks was found.
Allergic diseases are complex inflammatory conditions with an increasing prevalence and incidence . They play a major role in environmental and occupational medicine and encompass i.e. allergic bronchial asthma , allergic rhinitis , atopic dermatitis , food allergy  and allergic eye diseases . The direct medical costs evolved from allergic diseases are increasing over the past decades. I.e. bronchial asthma constitutes about an estimated 1-3% of the health fund of the U.S and the economic burden amounts to roughly 12 billion dollar [7–9]. Also other allergic diseases exert a major toll on the heath care systems . Despite the large amount of clinical and experimental studies already conducted on allergic diseases, further insights into the molecular basics are required to develop new therapeutic strategies.
Therefore, the European Union (EU) started a network of excellence, bringing together epidemiological and clinical researchers who investigate allergy and asthma across the life stages. Launched as a Network of Excellence of 25 leading European teams as well as the European Academy of Allergology and Clinical Immunology (EAACI) and the European Federation of Allergy and Airways Diseases Patients Associations (EFA) on February 2004, a total budget of EUR 14.4 million for a five-year period has been allocated from the EU's Sixth Research Framework Programme for GA2LEN activities . GA2LEN's research examines new ways of understanding, preventing and managing allergies and asthma. Research activities focus on epidemiology; early life events in the development of sensitisation; the translation of allergic sensitisation into allergic disease; the persistence in aggravation of allergic diseases and asthma. The collaboration project reflects recognition of growing concern among European citizens about rising rates of allergy and asthma . In this respect the scientific community depends on annual meetings to propagate the novel insights. The European Academy of Allergy and Clinical Immunology (EAACI) has already 26 annual congresses. However, there is no in-depth scientometric analysis of allergy research available so far. Therefore the present study was carried out to evaluate European allergy research using these congresses in the light of a growing interest in allergy research. Bibliometric approaches in combination with density-equalizing mapping were used for this purpose.
We hypothesized that the growing interest in allergy research is reflected by the output of abstracts at the largest European allergy meetings. Furthermore we were interested in investigating whether the creation of research networks such as the GA2LEN might influence scientific cooperation among EU countries.
Data was retrieved from the over 1500 pages of the proceedings books of the three different annual meetings in Berlin, Vienna and Gotenborg .
Data from the abstract books was entered into Excel spreadsheets following the subsequent rules: 1) The country from which the author of the article comes is inserted into the database program (Excel) 2) If an article is a result from a multinational cooperation (authors from different countries) each land is inserted in to the database program.
The following parameters were screened: 1) Number of abstracts originating from a specific country. 2) National interests for the field of allergy over the years (number of abstracts over the years) 3) Global analysis of the participations using density equalizing maps 4) Development of international cooperations in the allergy research.
A table was subsequently generated with all the participant countries and the number of papers coming from that country using Visual Basic for Applications (VBA).
Density-equalizing mapping was used as described previously [14–16]. In brief, territories were re-sized according to a particular variable, i.e. the number of published items at the three congresses. For the re-sizing procedure the area of each country was scaled in proportion to its total number of published items. The specific calculations are based on Gastner and Newman's algorithm .
Analysis of bilateral and multinational cooperations
A bilateral cooperation between 2 countries was defined when at least one author originates from one country and at least one other author from a second country. A matrix with all participant countries was computed with special software and filled with the appropriate values for the cooperation for each pair of countries. A software program was developed to interpret the matrix and transform the figures into vectors. The thickness of a vector quantifies the cooperation between the two countries. A threshold was also programmed in order to filter low numbers of bilateral cooperations (i.e. less then 5).
Total number of published items
Assessment of trends for single countries between the three congresses illustrates different trends: A general increase in numbers of published items can be seen. Countries including Poland, Austria, Iran, France and Turkey had a prominent contribution at the 2006 meeting and decreased numbers of published items in 2007 (Fig. 1).
Density equalizing mapping
The biggest change lies in the cooperation between different countries. This can probably be explained due the faster and cheaper means of communications and the increasing founding of European networks. In specific, at the 2001 meeting in Munich, networks were dominant between Germany and the US and Germany and Austria. However, the total numbers of bilateral cooperations (> 10 bilateral) were little (Fig. 2). An increase of bilateral cooperation (number > 10) was found for the 2006 meeting in Sweden. Here German-Austrian networks dominated (Fig. 3). At the 2007 meeting, German scientists again had the highest number of bilateral cooperations (Fig. 4).
The present study is the first analysis to assess allergy research progress using scientometric methods in combination with density-equalizing mapping procedures. An increasing number of networks was found when 2001 scientific activities were compared to 2006 and 2007. This needs to be interpreted in the context of allergy research and funding: Allergic diseases are estimated to cost Europe about 25 billion Euros annually, with most of the costs due to reduced productivity in school or at work and there is in increasing burden of allergic diseases present in Europe. Therefore, the European Union started the GA2LEN network with the intention to establish a world-wide competitive network of European centres of excellence in order to enhance the quality and relevance of research in the area of allergy and to address allergy and asthma in their totality. The research network focuses its research programme on developing new ways of preventing and managing allergies and asthma. In the long term, the research network aims also to decrease the socioeconomic burden of allergy and asthma in Europe. In close association to these aims are the meetings of the European Academy of Allergy and Clinical Immunology. They provide substantial progress in knowledge along with offering the opportunity for scientific networking and exchanging ideas. Due to the fact that there has been such an inflow of information surrounding allergy, it was decided in 1999 that there would be a four-day Congress every year. Generally, there is a constant increase of interest in this field since the meeting in 2001. The growing interest in the subject can also be seen when the most productive countries are analyzed. Data analysis of productivity parameters shows that research groups from Spain maintain a leadership position in research productivity at the level of European allergy meetings. The tendency of only a relatively small number of countries contributing the majority of research at the three congresses can also be remarkably illustrated by density-equalizing mapping procedures.
Whereas the number of published items was currently considered as an index of quantity of research productivity, the average citation per item may be used as an indicator for research quality. However, this approach is not available in the current study since the meeting abstracts are not listed in the PubMed online library and therefore not cited by many articles. However, online database-related studies have performed citation analyses for subfields of allergy research such as animal models of asthma . In these studies it was shown that there is a major difference between research quantity as assessed by numbers of published items and research quality as assessed by citation parameters. Data was retrieved from the Thomson Institute for Scientific Information database Web of Science . During the period from 1900 to 2006 a number of 3489 filed items were connected to animal models of asthma, the first being published in the year 1968 . The studies were published by 52 countries with the US, Japan and the UK being the most productive suppliers, representing 55.8% of all published items. Analyzing the average citation per item as an indicator for research quality, Switzerland ranked first (30.54/item) and New Zealand ranked second for countries with more than 10 published studies . With regard to the differences in this study on animal models, one can not draw any implications for the quality of science at the three currently analyzed allergy meetings. For this purpose, citation analyzing procedures are required that can not be applied in the present analysis of abstract books.
For the present study, it is important to realise that the analysis of European meetings are not representative for global allergy research. In this respect, a bias is represented by the host countries. Each of the three host countries is over-represented in its own meeting. This is a common phenomenon of conferences. Therefore, future studies using online data bases such as the PubMed or the Thomson Institute for Scientific Information database Web of Science  might be used to generate an overview of global allergy research activities using previously described techniques encompassing both scientometric and visualizing tools [19–22]. This might be performed within the NewQIS platform [23, 24].
The present study represents the first detailed bibliometric analysis of European allergy research. The data shows a strong increase in research productivity. In future, internationally established databases such as the Web of Science or the PubMed should be analyzed in combination with novel tools such as density- equalizing mapping.
- Nauta AJ, Engels F, Knippels LM, Garssen J, Nijkamp FP, Redegeld FA: Mechanisms of allergy and asthma. Eur J Pharmacol 2008, 585: 354–360. 10.1016/j.ejphar.2008.02.094View ArticlePubMedGoogle Scholar
- Apter AJ: Advances in the care of adults with asthma and allergy in 2007. J Allergy Clin Immunol 2008, 121: 839–844. 10.1016/j.jaci.2007.12.1176View ArticlePubMedGoogle Scholar
- Ahmad N, Zacharek MA: Allergic rhinitis and rhinosinusitis. Otolaryngol Clin North Am 2008, 41: 267–281. 10.1016/j.otc.2007.11.010View ArticlePubMedGoogle Scholar
- Giannetti A, Girolomoni G: Skin diseases with high public health impact. Atopic dermatitis. Eur J Dermatol 2007, 17: 566.PubMedGoogle Scholar
- Lack G: Epidemiologic risks for food allergy. J Allergy Clin Immunol 2008, 121: 1331–1336. 10.1016/j.jaci.2008.04.032View ArticlePubMedGoogle Scholar
- Bielory L: Ocular allergy overview. Immunol Allergy Clin North Am 2008, 28: 1–23. 10.1016/j.iac.2007.12.011View ArticlePubMedGoogle Scholar
- Redd SC: Asthma in the United States: burden and current theories. Environ Health Perspect 2002, 110(Suppl 4):557–560.PubMed CentralView ArticlePubMedGoogle Scholar
- Weiss KB, Gergen PJ, Hodgson TA: An economic evaluation of asthma in the United States. N Engl J Med 1992, 326: 862–866.View ArticlePubMedGoogle Scholar
- Weiss KB, Sullivan SD, Lyttle CS: Trends in the cost of illness for asthma in the United States, 1985–1994. J Allergy Clin Immunol 2000, 106: 493–499. 10.1067/mai.2000.109426View ArticlePubMedGoogle Scholar
- Mancini AJ, Kaulback K, Chamlin SL: The socioeconomic impact of atopic dermatitis in the United States: a systematic review. Pediatr Dermatol 2008, 25: 1–6. 10.1111/j.1525-1470.2007.00572.xView ArticlePubMedGoogle Scholar
- Munoz-Lopez F: Ga2Len: coordinated research. Allergol Immunopathol (Madr) 2005, 33: 243–244. 10.1157/13080925View ArticleGoogle Scholar
- Frew AJ: GA2LEN--The Global Allergy and Asthma European Network. Clin Exp Allergy 2005, 35: 122–125. 10.1111/j.1365-2222.2005.02153.xView ArticlePubMedGoogle Scholar
- XXVI Congress of the European Academy of Allergology and Clinical Immunology, Abstract Book, Gotenborg, Sweden Allergy 2007., 62:
- Groneberg-Kloft B, Scutaru C, Kreiter C, Kolzow S, Fischer A, Quarcoo D: Institutional operating figures in basic and applied sciences: Scientometric analysis of quantitative output benchmarking. Health Res Policy Syst 2008, 6: 6. 10.1186/1478-4505-6-6PubMed CentralView ArticlePubMedGoogle Scholar
- Borger JA, Neye N, Scutaru C, Kreiter C, Puk C, Fischer TC, Groneberg-Kloft B: Models of asthma: density-equalizing mapping and output benchmarking. J Occup Med Toxicol 2008, 3(Suppl 1):S7. 10.1186/1745-6673-3-S1-S7PubMed CentralView ArticlePubMedGoogle Scholar
- Groneberg-Kloft B, Kreiter C, Welte T, Fischer A, Quarcoo D, Scutaru C: Interfield dysbalances in research input and output benchmarking: visualisation by density equalizing procedures. Int J Health Geogr 2008, 7: 48. 10.1186/1476-072X-7-48PubMed CentralView ArticlePubMedGoogle Scholar
- Gastner MT, Newman ME: From The Cover: Diffusion-based method for producing density-equalizing maps. Proc Natl Acad Sci USA 2004, 101: 7499–7504. 10.1073/pnas.0400280101PubMed CentralView ArticlePubMedGoogle Scholar
- Sevinc A: Multilingual approach to "Web of Science". J Natl Med Assoc 2005, 97: 116–117.PubMed CentralPubMedGoogle Scholar
- Kusma B, Scutaru C, Quarcoo D, Welte T, Fischer TC, Groneberg-Kloft B: Tobacco control: visualisation of research activity using density-equalizing mapping and scientometric benchmarking procedures. Int J Environ Res Public Health 2009, 6: 1856–1869. 10.3390/ijerph6061856PubMed CentralView ArticlePubMedGoogle Scholar
- Groneberg-Kloft B, Scutaru C, Fischer A, Welte T, Kreiter C, Quarcoo D: Analysis of research output parameters: density equalizing mapping and citation trend analysis. BMC Health Serv Res 2009, 9: 16. 10.1186/1472-6963-9-16PubMed CentralView ArticlePubMedGoogle Scholar
- Groneberg-Kloft B, Scutaru C, Dinh QT, Welte T, Chung KF, Fischer A, Quarcoo D: Inter-disease comparison of research quantity and quality: bronchial asthma and chronic obstructive pulmonary disease. J Asthma 2009, 46: 147–152. 10.1080/02770900802503115View ArticlePubMedGoogle Scholar
- Groneberg-Kloft B, Dinh QT, Scutaru C, Welte T, Fischer A, Chung KF, Quarcoo D: Cough as a symptom and a disease entity: scientometric analysis and density-equalizing calculations. J Investig Allergol Clin Immunol 2009, 19: 266–275.PubMedGoogle Scholar
- Groneberg-Kloft B, Quarcoo D, Scutaru C: Quality and quantity indices in science: use of visualization tools. EMBO Rep 2009, 10: 800–803. 10.1038/embor.2009.162PubMed CentralView ArticlePubMedGoogle Scholar
- Groneberg-Kloft B, Fischer TC, Quarcoo D, Scutaru C: New quality and quantity indices in science (NewQIS): the study protocol of an international project. J Occup Med Toxicol 2009, 4: 16. 10.1186/1745-6673-4-16PubMed CentralView ArticlePubMedGoogle Scholar
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