Introduction
Traffic crashes and related injuries belong to the most important anthropogenic causes of morbidity and mortality in all parts of the world [
1‐
3]. They are therefore a major burden of disease that affects issues of public health. A greater proportion of the burden of injury and disability is found in developing countries, due to the improved safety in industrialized countries [
4]. In detail, road crashes, with 50 million people being injured, account for approximately 1.2 million deaths each year. Road traffic injuries have been reported to be the second leading cause of death among young people in developing countries aged 15 – 29 years and among children aged 5 – 14 years [
5,
6]. It can therefore be assumed that all means to increase traffic safety may help to reduce the global burden of disease. Studies analysing the potential effect of an absence of concerted efforts at prevention have concluded that there might be a dramatic increase in mortality and morbidity. It was calculated that road traffic deaths would increase from the 10th position in the list of the top 24 causes of death in 2002 to position eight by 2030 if concerted efforts at the prevention of road crashes are not implemented [
7].
The last 50 years can be characterized by an exponential increase in medical, social and technical research in general [
8,
9]. To deal with the large amount of data, quantitative and qualitative assessment tools for scientific output have become increasingly important. They now play a key role in the allocation of funding and prioritisation of resources as being demonstrated by the Research Assessment Exercise in the UK [
10].
Despite its afore mentioned disease burden caused by traffic crashes, relatively little effort has previously been made to understand the trends emanating from traffic medicine-associated literature on a bibliographical basis. One reason is probably the multi-sectorial nature of this area which covers both transport and health care sectors. While there has been some concentration on the bibliometrics of occupational medicine generally [
11‐
16], only little is known about specific scientific output related to traffic. Thus, the project “New Quality and Quantity Indices in Science” (NewQIS) [
17,
18] decided to perform a detailed analysis of research yield in traffic medicine from 1900 to 2008. We applied large-scale data analysis, bibliometric indicators of production and quality, and density-equalizing calculations. These calculations are based on a algorithm that was published by Gastner and Newman [
19]. The mappings are used to illustrate international correlations by resizing single countries in proportion to a defined variable such as article number or citation number.
Methods
Data source
The present study was integrated into the NewQIS project. In this project, bibliometric tools are combined to visualizing techniques [
17,
18]. All analyzed data were retrieved from Thomson Scientifics online database “Web of Science” (WoS). The PubMed database lacks citation information of the publications. This is why the entire analysis was conducted by the means of the WoS database.
Time span
The time frame was limited to the period between 1900 and 2008. For this purpose, the “Change Limits and Settings” function was adjusted initially and the query was made under this presetting. The years 2009–2012 were excluded in order to focus the study exclusively on completed years.
Data categorization
Data categorization was performed as previously described [
20]. In brief, the WoS database provided several tools to analyze entries according to specified parameters. The data set was analyzed by means of publication country, publication year, publishing author, publishing journals and published document type. Multiple distributions led to higher publication numbers when adding up results after analysis; for example, when a super regional publication is distributed to several countries. A common data processing program was used to display the results in tables, charts and diagrams.
Search strategies
Two search strategies were employed: For the general query (termed “general search”), the terms "traffic* securit*", "car crash*", "car accident*", "transport* accident*", "transport* crash*", "traffic* safet*", "car safet*", "vehicle crash*", "vehicle safet*" were connected with the Boolean operator “OR” and entered in the search field “Topic”. The asterisk stands as a placeholder for different word variations. In a second query that specifically addressed the area of public health and traffic, the terms “public health” AND “transport” OR “public health” and “traffic” were used. This search is termed “public health search”. This search was performed until the year 2011.
Primary data
For a first insight, the total number of published items was recorded together with the type of publication (original article, meeting abstract, review etc.), assigned subject areas, and publishing journals.
Citations per year
We assessed the total number of citations of all identified published items. Since they were all recorded until the date of analysis, an average citation per item was computed for those years with at least 30 published items.
Analysis of origin / language
The information about the address of the authors was analyzed in order to determine the country of origin of the articles. For countries such as the former USSR which split up, the current location of the city (country) was taken into account when determining the origin of the publication.
Citation characteristics - average citation rate (countries)
For all countries with at least 30 published items the average citation rate was calculated. For a better understanding of the country-specific citation characteristics, a modified H-Index for countries was used. In this respect, the theory of the H-Index (Hirsch-Index) was extrapolated on all articles originating from a given country. Hence, the definition of this country-specific H-Index is: A country has index “h” if “h” of its “Np” papers have at least “h” citations each, and the other (“Np - h”) papers have no more than “h” citations each.
Publication type
All publications were analysed under following aspects:
-
Number of published items
-
Total number of citations
-
Average number of citations
Assuming that the page format (i.e. the number of characters per page) of the journals is rather identical, the length of the publications was computed giving the start and end page. This procedure was performed for years in which 30 published items with page information was present.
Citation quantities
Identified publications were also analyzed by means of citation. Therefore, the feature “Citation Report” was used to calculate the citation rate of both authors and citations per year of citation. The complete “Citation Report” was downloaded and by special VBA Software further analyzed and than edited with “Microsoft Excel”. Afterwards, the 10 most productive authors were analysed for citations. The average citation rate was defined as the quotient of the total citation number divided by the publications listed for the author in question.
Density equalizing mapping
This study used density equalizing mapping in order to illustrate different parameters. The principles of the underlying calculations were reported by Gastner and Newman [
19] and integrated into the NewQIS platform projects [
21]. Software using the method of density equalizing mapping was employed to determine international correlations. This method resized countries proportionally according to a predefined variable. The territory with the highest number of publications was depicted largest on the associated map.
Discussion
BMC Public Health has published a number of studies related to scientometric analyses ([
16,
22,
23]). The present study assessed the field of research related to traffic medicine using a combination of bibliometric tools and novel visualizing techniques. In the general search we found 5193 published items related to traffic medicine and starting with 1990 a dramatic increase in the number of published items was present. This is partially caused by the fact that starting with 1990 the WoS records also contained the abstract of the articles which impacts on the search routine. Another explanation could be the rapid development of cheap and fast communication means (email, Internet).
Some methodological issues need to be discussed before interpreting the data: One major issue is represented by difficulties in the terminology: In this respect, it needs to be stated that traffic medicine and related road traffic research is by definition multi-sectorial which spans both transport and health care sectors.
Given that road traffic-related research is multi-sectorial, it seems justified that many of the search terms used to identify the relevant research output focused on areas other than public health (e.g. traffic security, transport accident, transport crash etc.). At the same time, there appears to be a lack of search terms that focus specifically on the public health aspect of road traffic. Therefore, a second analysis was aimed to specifically address these aspects. Of course, also this second analysis is not all-encompassing but narrowly focussed. For instance, special issues including pedestrians, bi- and tri-cyclists are not captured completely in this approach. One therefore needs to emphasize that the present study cannot claim to exclusively focus on traffic medicine alone or transport research alone, but represents to some extent a juxtaposition.
With regard to the total output of research it can be stated that the field of traffic medicine research continues to increase annually but is relatively low in comparison to other research areas. This conclusion might be drawn when focussing on a recent study that addressed the research fields of cardiology and respiratory medicine in Europe [
18]. Here, it was shown that the output levels are generally higher in these fields of medicine.
The present findings may provide useful information for those who are tasked with improving the research performance in this area. In this respect, it was recently hypothesized that without the use of scientometric techniques, there will be a growing discontent among scientists for funding allocation policies [
17,
18]. Therefore, the use of specific tools and benchmarking systems as shown here could be of help to implement transparency within funding allocation processes. This was the basis for the establishment of NewQIS, a scientific, non-financial platform that assesses research trends in socioeconomic important areas of science and research within delineated research projects [
17,
18].
Since it is not possible to precisely analyze the global funding in this area, we cannot provide any information about funding. Therefore, the assumption the published articles represent associated research funding in this area is not justified. By contrast, it is generally accepted that the biomedical fields with the highest level of funding are represented by cardiovascular medicine, oncology and the nervous system. In countries such as the US, the UK or Germany, these fields also generate the highest output. The reason is probably simple: Investing more money in one field means generating new research positions and new projects which leads to an increased number of scientific publications in this field. However, as stated above, precise models and ratios of this relation do not exist.
When relating the present study to other fields of science, previously published NewQIS studies may be used for comparison. I.e. a recent study focussed on a scientometric analysis and combined density-equalizing mapping of environmental tobacco smoke (ETS) research [
24]. 6,580 ETS-related studies published between 1900 and 2008 were identified in the ISI database and a continuous increase of both quantitative and qualitative parameters was found. The combination with density-equalizing calculations demonstrated a leading position of the United States (2,959 items published) in terms of quantitative research activities [
24]. Charting techniques demonstrated that there are numerous bi- and multilateral networks between different countries and institutions in this field [
24]. Again, a leading position of American institutions was found. Interestingly, there are large similarities concerning the findings on country research productivity present between traffic medicine and ETS-related research [
24].
However, also differing results were recently reported [
8]. I.e. one study that examined specific areas of major research activity using different organ systems reported major differences between countries. In a total of 5,527,558 published items. A dichotomy was present between Western countries such as the US, UK or Germany and Asian countries such as Japan, China or South Korea concerning research focuses [
8].
With regard to the presently performed search routine in the general search, we tried to assess a large number of published items by enlarging the search terms using the Boolean operator, 'OR', with different terms related to traffic medicine including "traffic* securit*", "car crash*", "car accident*", "transport* accident*", "transport* crash*", "traffic* safet*", "car safet*", "vehicle crash*", "vehicle safet*". This is in contrast to other studies that used only one search term. However, since the used search terms can be summarized into the field of traffic medicine, the present approach appears to be useful in this area of research. Undoubtedly, our search strategy encompasses a number of articles that does not represent the overall number of studies dedicated to the field of traffic medicine. This is due to the inability of every bibliometric database study to identify all published items related to a specific field within a set of over 11,000,000 publications. We therefore performed a second search that specifically addressed the issue of public health and transport/traffic medicine. In this analysis more than 1,200 specific publications were identified. In general, the trends of the first, larger analysis were paralleled concerning key benchmarks such as general output figures, leading countries or networks.
In summary, it needs to be stated that traffic medicine is a multi-sectorial research area with important implications for public health. Research related to this field of science and medicine continues to increase annually but is relatively low in comparison to other research areas. The present data may provide helpful information for those who are tasked with improving research performance in this field.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
BGK, DK, SZ, CS have made substantial contributions to the conception and design of the study, acquisition of the review data and have been involved in drafting and revising the manuscript. All authors have read and approved the final manuscript.