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. 2020 Mar 17;20:60. doi: 10.1186/s12874-020-00940-0

Research methodology used in the 50 most cited articles in the field of pediatrics: types of studies that become citation classics

Antonia Jelicic Kadic 1, Tanja Kovacevic 1, Edita Runjic 2, Ana Simicic Majce 1, Josko Markic 1,3, Branka Polic 1, Julije Mestrovic 1,3, Livia Puljak 4,
PMCID: PMC7079476  PMID: 32183718

Abstract

Background

One of the frequently used methods for assessing research trends and the impact of published scientific literature in a particular discipline is citation analysis. Journals may strive to improve their metrics by choosing manuscripts and study designs that are more likely to be cited. The aim of this study was to identify the 50 most-cited articles in the field of pediatrics, analyze their study design and other characteristics of those articles, and assess the prevalence of systematic reviews among them.

Methods

In December 2017, we searched Web of Science (WoS) for all articles published in the field of pediatrics. Two authors screened articles independently and in the further analysis included 50 articles with the highest number of citations. To avoid bias for scientific papers published earlier, the citation density was calculated. We also analyzed Journal Impact Factor (JIF) of journals where citation classics were published.

Results

The citation density in top 50 cited articles in the field of pediatrics ranged from 33.16 to 432.8, with the average of 119.95. Most of the articles reported clinical science. Median 2016 JIF for journals that published them was 6.226 (range: 2.778 to 72.406). Half of the top 10 highly cited articles in pediatrics were published in a journal with JIF below 5. Most of the studies among the citation classics in pediatrics were cross-sectional studies (N = 22), followed by non-systematic narrative reviews (N = 10), randomized controlled trials (N = 5), cohort studies (N = 5), systematic reviews (N = 2), case-control studies (N = 2), case reports (N = 2), and there was one study protocol and one expert opinion.

Conclusion

Few randomized controlled trials and systematic reviews were among citation classics in the field of pediatrics. Articles that use observational research methodology, and are published in journals with lower impact factors, can become citation classics.

Keywords: Study design, Citation density, Methodology, Pediatrics, Citation classics

Background

The growth of a particular scientific field can be gauged by research advancements that have been reported over time. One of the frequently used methods for assessing research trends and impact of published scientific literature in a particular discipline is citation analysis. By citing an article, other researchers in the field give acknowledgement and prominence to someone’s work, highlighting its importance for further advancement of knowledge [1].

Citations are also used to calculate metrics such as Journal Impact Factor (JIF) [2]. Editors of scholarly journals may seek manuscripts with a potential for attracting high citation counts, in an effort to increase their JIF, improve their status, and attract the best manuscripts in future [36]. Some manuscripts may receive disproportionate attention of other researchers and very high number of citations [7, 8]. Journal editors would thus benefit from knowing which manuscripts may attract higher citation counts, contribute towards JIF of their journal, and potentially become a citation classic.

Bibliometric analyses of the most-cited articles in certain disciplines, also called “citation classics”, provide insight into research areas that have marked certain discipline. The number of citations and citation density, i.e. average number of citations since the date a manuscript was published, can be used to indicate influence of a certain publication on a respective field [1].

It has been reported that systematic reviews and meta-analyses have a higher citation rate compared to other study designs [915]. However, it is unclear whether systematic reviews are predominant research methodology among the highest-cited articles in a certain field, i.e. ‘citation classics’.

The aim of this study was to identify the 50 most-cited articles in the field of pediatrics, to analyze their characteristics and to determine research methodology used in those articles.

Methods

Study design

This was a bibliometric study of articles published in scholarly journals.

Study eligibility

We included in the analysis articles from the field of pediatrics published in scholarly journals indexed in Web of Science (WoS), regardless of the date and language of publication.

Search

In December 2017, we searched the WoS database [Science Citation Index – Expanded (SCI-E), Social Sciences Citation Indeks (SSCI) and Art & Humanities with the Advanced Search] for all articles published in the field of pediatrics. The following search terms were used: pediatric* or paediatric* or child* or newborn* or neonat* or adolescen* or infan* or preschool* or pre-school* or teen* or kindergarden* or elementary school* or nursery school* or youth* or baby* or babies* or schoolchild* or toddler*.

When designing the search strategy, we used results of Kastner et al., who explored age-specific search strategies for MEDLINE [16], and reported that [quote]: “The three-term strategy “adolescent.tw. OR children.tw. OR child, preschool.sh.“ yielded the best optimization of sensitivity and specificity (89.3% and 87.3%, respectively).” To increase the possibility to find all pediatric-related studies, we expanded on this search words, and used more labor-intensive approach – we have increased the number of search-terms related to children, to make sure that we find as many records as possible. We did not use any time or language limits.

Screening and study selection

After conducting the search, the articles were sorted in WoS by highest citation number and exported. Two authors independently screened the top-ranking articles until 50 most cited articles in the field of pediatrics were identified. We excluded all articles that used the above mentioned keywords but that were not focused on pediatric population.

Data extraction

Two authors independently categorized articles’ research methodology (i.e. study design). The studies were also categorized into the following categories: i) basic science, ii) clinical science, iii) reviews and guidelines and iv) diagnostic studies, and depending on pediatric subspecialty.

Additionally, two authors independently extracted the following data from each included article: number of authors, title, year of publication, journal name, 2016 JIF, country in which the study was performed, WoS category and WoS research area, number of citations and funding source.

To avoid bias towards older articles, which tend to have more citations because there has been more time to cite them, we calculated citation density for every study ranked in top 50 by dividing number of citations over the number of years the work had been published. Each article was assigned to a single country in accordance with the corresponding author’s address.

Ethics

This study included analysis of published articles, and thus approval of a research ethics committee was not applicable.

Statistical analysis

Kolmogorov-Smirnov and Shapiro-Wilk tests were used to test normality of data distribution. Spearman’s r was used to test correlations between variables when both variables were continuous. The Mood’s median test was used to test the equality of medians. Descriptive statistics and frequencies were calculated. Both descriptive and inferential statistics were used to present the results. Statistical significance was set at p<0.05. Statistical analysis was conducted using SPSS statistical software (SPSS 24.0, IBM® SPSS®, IBM Corporation, Armonk, NY, USA).

Results

Number of records after the search was 3,204,914. We downloaded 500 with highest citation number and screened them. Table 1 presents a list of the 50 highest-cited articles in the field of pediatrics.

Table 1.

The 50 highest-cited articles in the field of pediatrics, their first author, journal, citation density, number of citations and study design

Rank First author Journal Journal Impact Factor Citation density Number of citations Study design
1 Ogden CL. 2012 [17] JAMA 44.405 432.8 2164 cross-sectional
2 Ogden CL. 2010 [18] JAMA 44.405 264.1 1849 cross-sectional
3 Goodman R. 1997 [19] Journal of Child Psychology and Psychiatry and Allied Disciplines 6.226 220.2 4403 cross-sectional
4 Kaufman J. 1997 [20] Journal of the American Academy of Child and Adolescent Psychiatry 6.442 216.9 4338 case control study
5 Black RE. 2008 [21] Lancet 47.831 215.9 1943 literature review
6 Polanczyk G. 2007 [22] American Journal of Psychiatry 14.176 195.3 1953 systematic review
7 Barlow SE. 2007 [23] Pediatrics 5.705 190.1 1901 expert opinion and literature review
8 De Onis M. 2007 [24] Bulletin of the World Health Organization 4.939 184.9 1849 cross-sectional
9 Asher MI. 1995 [25] Lancet 47.831 184.7 2032 cross-sectional
10 Felitti VJ. 1998 [26] American Journal of Preventive Medicine 4.212 165.9 3152 cross-sectional
11 Spear LP. 2000 [27] Neuroscience and Biobehavioral Reviews 8.299 161.9 2752 literature review
12 Strong WB. 2005 [28] Journal of Pediatrics 3.874 155.9 1871 systematic review
13 Giedd JN. 1999 [29] Nature Neuroscience 17.830 145.6 2621 cross-sectional
14 Palisano R. 1997 [30] Developmental Medicine and Child Neurology 3.116 138.3 2765 cross-sectional and literature review
15 Filmer D. 2001 [31] Demography 2.802 134.8 2157 cross-sectional
16 Hoffman JIE. 2002 [32] Journal of the American College of Cardiology 19.896 134.5 2018 expert opinion and literature review
17 Sallis JF. 2000 [33] Medicine and Science in Sports and Exercise 4.141 125.9 2140 literature review
18 Costello EJ. 2003 [34] Archives of General Psychiatry 14.48 (2014) 124.5 1743 longitudinal cohort study
19 Masten AS. 2001 [35] American Psychologist 6.681 121.8 1948 expert opinion and literature review
20 Beasley R. 1998 [36] Lancet 47.831 119.5 2271 cross-sectional
21 Resnick MD. 1997 [37] JAMA 44.405 115.3 2305 cross-sectional
22 Connor EM. 1994 [38] New England Journal of Medicine 72.406 115.1 2648 randomized controlled trial
23 Varni JW. 2001 [39] Medical Care 2.897 113.1 1809 cross-sectional
24 Martinez FD. 1995 [40] New England Journal of Medicine 72.406 111.4 2451 expert opinion and literature review
25 Shaffer D. 2000 [41] Journal of the American Academy of Child and Adolescent Psychiatry 6.442 111.4 1894 prospective cohort study
26 Brenner DJ. 2000 [42] American Journal of Roentgenology 2.778 102.9 1749 expert opinion and literature review
27 Montague CT. 1997 [43] Nature 40.137 96.8 1935 case report (two cases)
28 Saffran JR. 1996 [44] Science. 37.205 96.2 2012 cross-sectional
29 Crick NR. 1995 [45] Psychological Bulletin 16.793 96.0 2207 literature review
30 Jensen PS. 1999 [46] Archives of General Psychiatry 14.48 (2014) 95.7 1722 randomized controlled trial
31 Baroncohen S. 1985 [47] Cognition 3.414 91.9 2941 case control study
32 Asher MI. 1995 [48] European Respiratory Journal 10.569 91.1 2941 study protocol
33 Ames C. 1992 [49] Journal of Educational Psychology 3.459 89.6 2240 expert opinion (descriptive, qualitative)
34 Holmbeck GN. 1997 [50] Journal of Consulting and Clinical Psychology. 4.593 86.1 1722 expert opinion and literature review
35 Papile LA. 1978 [51] Journal of Pediatrics 3.874 84.0 3277 cross-sectional
36 Czeizel AE. 1992 [52] New England Journal of Medicine 72.406 82.9 2073 randomized controlled trial
37 Crick NR. 1995 [53] Child Development 4.195 82.3 1811 cross-sectional
38 Miller NJ. 1993 [54] Clinical Science 4.936 80.1 1923 cross-sectional
39 Wald N. 1991 [55] Lancet 47.831 77.8 2023 randomized controlled trial
40 Wimmer H. 1983 [56] Cognition 3.414 72.6 2470 cross-sectional
41 Barker DJP. 1989 [57] Lancet 47.831 65.0 1819 retrospective cohort study
42 Harter S. 1982 [58] Child Development 4.195 59.0 2065 cross-sectional
43 Mulliken JB. 1982 [59] Plastic and Reconstructive Surgery 3.843 54.6 1910 cross-sectional
44 Shaffer D. 1983 [60] Archives of General Psychiatry 14.48 (za 2014) 53.5 1818 cross-sectional
45 Dubowitz LM. 1970 [61] Journal of Pediatrics 3.874 48.0 2255 cross-sectional
46 Jones KL. 1973 [62] Lancet 47.831 42.0 1849 case report (two cases)
47 Schwartz GJ. 1976 [63] Pediatrics 5.705 41.7 1708 cross-sectional
48 Liggins GC. 1972 [64] Pediatrics 5.705 41.2 1852 randomized controlled trial
49 Tanner JM. 1966 [65] Archives of Disease in Childhood. 3.265 33.6 1714 longitudinal cohort study
50 Tanner JM. 1966 [66] Archives of Disease in Childhood. 3.265 33.2 1691 longitudinal cohort study

Research methodology used in pediatrics’ citation classics

Most of the studies among the citation classics in pediatrics were cross-sectional studies (N = 22), followed by non-systematic narrative reviews (N = 10), randomized controlled trials (N = 5), cohort studies (N = 5), systematic reviews (N = 2), case-control studies (N = 2), case reports (N = 2), and there was one study protocol and one expert opinion.

Among the only two systematic reviews among the pediatrics’ citation classics, neither one was a Cochrane review. One was published in the American Journal of Psychiatry in 2007, and it addressed world-wide prevalence of Attention-Deficit/Hyperactivity Disorder (ADHD) [22], while the other one was published in Journal of Pediatrics in 2005 on the subject of physical activity for school-aged youth [28].

Characteristics of pediatrics’ citation classics

The top 50 cited articles in pediatrics were published from 1966 to 2012. The majority of the studies were published before year 2000 (33/50; 66%); analysis per decade indicates that the highest number of those articles were published in 1990s (N = 20) (Fig. 1). Mean value for years passed since publication was 23.24 (range: 5 to 51 years) and 1st quartile value is Q1 = 16. Citation density increased with increasing decade (Fig. 2) and there was a high, statistically significant positive correlation between citation density and year of publication (Spearman’s ρ = 0.888, p < 0.001).

Fig. 1.

Fig. 1

Number of top 50 cited articles by decade of publication

Fig. 2.

Fig. 2

Citation density of articles in top 50 by decade of publication

The citation density in top 50 cited articles in the field of pediatrics ranged from 33.16 to 432.8, with the average of 119.95. The analysis showed an existing, but low positive correlation between citation density and the number of citations (Spearman’s ρ = 0.369; p = 0.008). Article with highest density was published by Ogden et al. in JAMA, 2012; the article reported data about obesity and body mass index in US children and adolescents in 1990–2010 [17].

The article with highest number of citations was published by Goodman et al. in 1997; the article was cited total of 4403 times, it covered pediatric psychology, namely strengths and difficulties questionnaire [19].

The oldest articles in top 50 were two articles by Tanner et al. about standards from birth to maturity for height weight height velocity and weight velocity, which was published in 1966 [65, 66]. Both were published in Archives of disease in childhood with impact factor 3.265 in 2016.

Of the top 50 ranked articles, 33 corresponding author’s address were affiliated with institutions based in the United States. Other affiliations were from United Kingdom, New Zealand, Austria, Hungary, Sweden and Brazil. Most of them had 5 or more authors (N = 24). Information about funding was reported in 37 articles; studies were funded mostly by non-profit grants.

The majority of the top 50 studies in pediatrics reported topics about child psychology (N = 13) and psychiatry (N = 8). Others reported findings from the sub-specialties of neonatology (N = 7), epidemiology (N = 4), allergology (N = 3), general pediatrics (N = 3), growth and development (N = 3) cardiology (N = 2), endocrinology (N = 3), genetics (N = 1), nephrology (N = 1), neuropediatrics (N = 1) and biochemistry (N = 1).

Only one study was categorized as basic science, 28 were clinical studies, 12 were reviews or guidelines and 9 were diagnostic. We did not find statistically significant correlations found between citation density and category of studies (ρ = 0.709; p = 0.054). Also, Mood’s median test did not suggest statistically significant differences in citation density across different categories (p = 0.407).

The top 50 cited articles in the field of pediatrics were published in 25 different journals. Most of them were published in The Lancet, a general medical journal (N = 6). Other journals that published more than one top 50 pediatric article were: Archives of General Psychiatry (N = 3), JAMA (N = 3), Journal of Pediatrics (N = 3), New England Journal of Medicine (N = 3), Pediatrics (N = 3), Archives of Disease in Childhood (N = 2), Child Development (N = 2), Cognition (N = 2) and Journal of the American Academy of Child and Adolescent Psychiatry (N = 2).

The 2016 impact factor for journals that published the top 50 cited pediatric articles ranged from 2.778 to 72.406 with median of 6.226. Half of the top 10 highly cited articles in pediatrics were published in a journal with impact factor below 5.

All data collected within this study, for all analyzed variables, are available in Supplementary file 1.

Discussion

The majority of pediatrics’ citation classics were observational studies with cross-sectional study design, and half of them were published in a journal with JIF below 5. Pediatrics’ citation classics were published from 1966 to 2012, with the majority published in 1990s. Most of the articles had 5 or more authors and were funded, mostly from non-profit grants. The majority of the top 50 studies in pediatrics reported topics about child psychology and psychiatry.

While it has been reported earlier that evidence syntheses, such as systematic reviews and meta-analyses, receive a higher citation rate compared to other study designs [915], our study indicates that there were very few systematic reviews among citation classics in the specialized field of pediatrics. This indicates that editors need not favor those kinds of study designs, when making decisions about which manuscripts to accept and publish.

We found a significant correlation between citation density and year of publication were citation density increased with increasing decade. Similar results found Baldwin et al. [67] who analyzed the highest-cited articles in pediatric orthopedic surgery.

In this study we found that the top 50 cited articles in the field of pediatrics were published in a wide range of journals according to the 2016 impact factor. Almost half of the articles were published in a journal with impact factor above 20, but the journal impact factors ranged from 2.778 to 72.406. It is encouraging to researchers to see that even studies published in journals with modest impact factors can become highly cited. It is particularly encouraging to see that half of the top 10 highly cited articles in pediatrics were published in a journal with impact factor below 5. These figures indicate a wide range of citation patterns between individual journals, suggesting that impact factor of journal should not be considered as an essential feature for article’s number of citations and that even a manuscript published in a lower-ranked journal can become a citation classic.

In 1977, Eugene Garfield described a concept of a “citation classic” in commentaries that were published in the Current Contents about the most-cited papers ever published [68]. Although number of citations varies in different disciplines, in general, it was postulated that a publication cited more than 400 times should be considered a citation classic, with the acknowledgement that in some fields, where there are fewer researchers, even 100 citations may qualify article as a citation classic [69].

In this study we restricted our analysis to the top 50 highly cited articles in the field of pediatrics, and all of these articles had much more than 400 citations, ranging from 4403 for the top-ranking article to 1691 for the 50th article on the list. This is understandable as we chose very broad field of pediatrics for this particular bibliometric analysis. Pediatrics encompasses various medical sub-specialties, which is reflected in the various topics that we can find among the top 50 articles we identified in this study.

Two article with the highest citation density reported trends in obesity and BMI index in US children and adolescents. Prevalence of childhood obesity has reached epidemic pro. The cost of obesity in childhood and adolescents for society is significant and quantifiable [70].

It has been suggested that childhood obesity is a risk factor for select cardiovascular diseases in adulthood [71], which is worrying because CVD are the predominant cause of death. It has been shown that obesity, glucose intolerance, and hypertension in childhood population were strongly associated with increased rates of premature death from endogenous causes [72].

Limitations

A limitation of this study might be approach to choosing the top 50 articles using the absolute 2016 impact factor. We first extracted highest-cited articles, and then for each of the top 50 cited articles in pediatrics we analyzed a citation density, defined as number of citations per year. Even though we used this method to avoid bias, it is possible that there are pediatric articles with a higher citation density that are not included in our top 50 list.

Regarding the citation windows, there are no uniform recommendations. It has been reported that there are significant variations in citation ageing between different research fields, types of articles, total citation counts and months of publication. The within-group differences were also shown to be even more striking, as many articles in the slowest ageing field might still age faster than many articles in the fastest ageing field. Furthermore, it has been observed that field normalization cannot impact the accuracy of using short citation time windows [73].

Also, there may be factors, such as document type, which maybe correlated with number of citations [7, 8, 74, 75], but comprehensive analysis of such factors on a large sample of our studies was not the aim of our study. Furthermore, we did not use any method of normalization, which may have added to the results.

Furthermore, field of pediatrics is very broad, and the articles included come from various subfields of pediatrics. However, any article, regardless of its subfield, has a potential to become a citation classic. This is also reflected in the variety of topics covered in our top 50 articles.

In this study we focused on identifying the 50 most-cited articles, while other approaches could be also used, such as identifying the top 5 or 10% of the highest-cited articles in the field. However, in bibliometric studies, there is no uniform recommendation regarding study design of these types of bibliometric studies. For example, it has been reported that in the biomedical field, list of fifty or more citations is common, while in mathematics less than twenty citations are most common [76].

Future studies in this field could address some of these limitations.

Conclusion

Few randomized controlled trials and systematic reviews were among citation classics in the field of pediatrics. Articles that use observational research methodology, and are published in journals with lower impact factors, can become citation classics. This implies that journal editors should not have a preferential study design when making decisions what to accept and publish, and instead to focus on the quality and contribution of a manuscript, regardless of the study design.

Supplementary information

12874_2020_940_MOESM1_ESM.xlsx (25.6KB, xlsx)

Additional file 1. Supplementary file 1. Data for all characteristics of pediatrics’ citation classics that were analyzed within the study. The Excel table contains Supplementary file 1, with all data about characteristics of the 50 highest-cited articles in the field of pediatrics. The Excel table contains the following columns: name of the first author, country of authors’ affiliation, year of publication, years passed since publication, title, times cited in all databases, citation density, Journal Impact Factor for year 2016, Web of Science category, research area, funding source, study design, number of authors.

Acknowledgements

None.

Abbreviations

ADHD

Attention-Deficit/Hyperactivity Disorder

JIF

Journal Impact Factor

WoS

Web of Science

Authors’ contributions

AJK designed the study, collected data, analyzed data and wrote manuscript. TK contributed to the conception and design of the study, collected data and help with interpretation of data. ER, ASM, [JM]1 and BP collected data and help with interpretation of data. [JM]2 contributed to the conception and design of the study. LP contributed to the conception and study design, data presentation, and manuscript writing. All authors reviewed and revised the manuscript and approved the final manuscript as submitted.

Funding

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Availability of data and materials

All data generated within this study are available in the Supplementary file 1.

Ethics approval and consent to participate

Not applicable. This study did not include any participants; we analyzed publicly available bibliographic information about published research articles.

Consent for publication

Not applicable.

Competing interests

Livia Puljak is section editor at the BMC Medical Research Methodology. Antonia Jelicic Kadic is Associate Editor of the BMC Medical Research Methodology. However, two of them were not involved in any way in handling of this manuscript. Other authors have nothing to declare regarding potential competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Antonia Jelicic Kadic, Email: jelicic.antonia@gmail.com.

Tanja Kovacevic, Email: tanjakovacevic74@yahoo.com.

Edita Runjic, Email: editarunjic@gmail.com.

Ana Simicic Majce, Email: a.simicic@gmail.com.

Josko Markic, Email: josko.markic@gmail.com.

Branka Polic, Email: branka.polic1@gmail.com.

Julije Mestrovic, Email: julije.mestrovic@gmail.com.

Livia Puljak, Email: livia.puljak@unicath.hr, Email: livia.puljak@gmail.com.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12874-020-00940-0.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12874_2020_940_MOESM1_ESM.xlsx (25.6KB, xlsx)

Additional file 1. Supplementary file 1. Data for all characteristics of pediatrics’ citation classics that were analyzed within the study. The Excel table contains Supplementary file 1, with all data about characteristics of the 50 highest-cited articles in the field of pediatrics. The Excel table contains the following columns: name of the first author, country of authors’ affiliation, year of publication, years passed since publication, title, times cited in all databases, citation density, Journal Impact Factor for year 2016, Web of Science category, research area, funding source, study design, number of authors.

Data Availability Statement

All data generated within this study are available in the Supplementary file 1.


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