3.1. Journal Output
Table 1 shows the number of articles published in
Medicine each year since 2004, along with the percentage increase or decrease in output from the previous year. In the eight years prior to the mega-journal transition (2006–2013) the journal published a total of 299 articles, an average of 37.4 per year, and indeed the journal had been publishing at this level since the 1960s. Although output fluctuated somewhat, there appears to be little evidence suggesting a deliberate attempt to grow the journal, since each year of growth is followed by a reduction in size the following year. In the first six months of 2014, a further 23 articles were published, at which point the journal began operating as a mega-journal. 292 articles were published in the remaining six months of the year, almost as many as in the previous eight years combined, while 2015 saw a further dramatic rise to almost 2000 articles. Although the rate of growth slowed somewhat in 2016, the journal still published no less than 3124 articles. It is helpful to provide some context for these figures:
Medicine’s output in 2016 makes it the 12th largest journal of the almost 12,000 indexed in
WoS, and the 6th largest title covering medical disciplines.
It is also instructive to compare this output with that of other mega-journals. While PLOS ONE remained the largest journal in the world (2016 = 21,011 articles), Medicine is already larger than all but one other OAMJ—Nature’s Scientific Reports (2016 = 19,999).
3.2. Author Characteristics
Analysis of author characteristics focuses on author nationalities and institutional affiliations. In both cases a comparison is made between the ten years prior to the mega-journal launch (2004–2013), and the two years after the transition (2015–2016). A ten year period was used to ensure sufficient articles were included in the analysis. 2014 was excluded from the analysis since the journal published articles evaluated under both traditional and OAMJ peer review policies for parts of this year; mega-journal articles were first published in July, but it was not clear when the final article reviewed under the traditional model was published.
Table 2 shows the ten most common author nationalities for the 365 articles published in
Medicine between 2004 and 2013, along with the number and percentage of articles with at least one author from each country. Author nationalities are derived from the location of their affiliated institution. For papers with multiple authors, data relating to each author are included. The results show that during the earlier period the journal published articles predominantly from authors based in the USA, France and Spain. In total 278 of the 365 articles (76.2%) have an author from one of these three countries. This stands in stark contrast to the figures for 2015–2016. China emerges as the most prolific contributor, and 2633 of 3517 articles (74.9%) have at least one author from one of four Asian countries: China, Taiwan, South Korea and Japan. It should also be noted that while French, Spanish and American authors each provide proportionally fewer articles, their actual contribution has increased considerably. The USA, for example, provides an author for on average 13.1 articles per year between 2004 and 2013, a figure that rises to 213.3 for the post-mega-journal period.
Table 3 presents the 10 most common author affiliations for articles published in the same two periods. Prior to the mega-journal transition the most prolific institutions were European (particularly French) or American, with the top five contributing institutions providing almost a third (32.9%) of all papers published by the journal. The most commonly found contributors to the mega-journal, in contrast, are all Asian institutions. The top five institutions are all Taiwanese, and four of the remaining five Chinese (the exception is Yonsei University, South Korea). These top contributors, while providing many more articles in total than the top-producing institutions pre-OAMJ, are responsible for a lower proportion of total journal output, the top five institutions contributing to 11.8% of all articles published in this period.
Table 3 also shows the number of articles published by each institution in the other time period. Here we note that all of the most prolific contributors in the 2003–2014 period have also published papers in the mega-journal iteration of the journal. Indeed, given the much shorter lifespan of the mega-journal, these institutions have published proportionally more frequently in the mega-journal than they did in the decade prior to the transition. This contrasts strongly with the most common OAMJ contributing institutions, only half of whom had authored any articles at all in the 2004–2013 period.
3.3. Citation Analysis
Before presenting a more detailed analysis of citation distributions before and after
Medicine’s change to the mega-journal model, it is helpful to review the yearly Journal Impact Factors (JIFs) awarded to the journal.
Table 4 shows these figures, along with the JIFs for
BMJ Open and
PLOS Medicine. It is notable that
Medicine’s JIF dropped substantially in 2015, the first year to include only articles published under the mega-journal peer-review policies. 2014 produced
Medicine’s highest JIF of the preceding decade, and ranked the journal 15th of all titles classified as ‘
Medicine, General and Internal’ in
WoS. The 2015 figure places the journal 40th in the same list.
BMJ Open, which operates an ostensibly similar peer-review policy, achieved a slightly higher JIF in 2015, and ranks 32nd.
To compare citation rates and distributions, all articles published in
Medicine in 2015 were identified, and the number of times these papers were cited in articles published before the end of 2016 was calculated. A similar approach was taken for
BMJ Open and
PLOS Medicine. Since the pre-2014 incarnation of
Medicine published only ca. 35 articles per year, aggregated data for the three years prior to the mega-journal transition were used (2011–2013). Only citations made in articles published before the end of the next calendar year were considered, in order to match the period used for the other three journals.
Table 5 shows the results of this analysis, with a focus on the number of infrequently cited articles. The pre-mega-journal version of
Medicine is found to have a far smaller proportion of uncited articles, while 78.1% of articles published in 2015 have 2 or fewer citations. It is, however, notable that the mega-journal version of
Medicine has a very similar citation distribution to that of
BMJ Open.
Following Björk and Catani [
12], cumulative distribution function curves were also plotted for the four journals, as shown in
Figure 1. Once again the citation distributions for the mega-journal iteration of
Medicine and
BMJ Open were found to be remarkably similar. The pre-2014 version of
Medicine is shown to have published many more highly cited articles than the two OAMJs, but fewer than
PLOS Medicine.
Analysis was also carried out on citing journals.
Table 6 shows the 20 most common citing journals for
Medicine before and after its change to a mega-journal. Only two journals are common to both lists (
Medicine itself, and
PLOS ONE). The proportion of citations to
Medicine articles published in
Medicine itself is substantially larger for the mega-journal iteration, accounting for almost a quarter (23.4%) of all citations. It is noticeable that a high proportion (45%) of the 2004–2013 list relate to rheumatology, suggesting that while ostensibly a general medicine title, it may have attracted a high number of submissions relating to that specialty. It is also interesting to note that the three most commonly found citing journals for the post-2015 iteration of
Medicine are all themselves mega-journals; it is possible that this may be due to the faster publication speeds often offered by mega-journals.
While the journal’s declining impact factor, and the data presented in
Table 5, suggest that recent
Medicine articles are being cited less frequently, they do not indicate whether the characteristics of citing journals have changed. To explore this, the mean JIF was calculated for the citing journals for each time period, weighted by the number of citations made in each citing journal. The JIF awarded to the citing journal for the year of the citation was used, and the results are presented in
Table 7. Significant differences between group means were confirmed by a one-way Welch Anova (F(3,3394) = 83.3,
p < 0.001), with a post-hoc Games-Howell test revealing significant differences between each journal (
p < 0.001). It is apparent that
PLOS Medicine’s citations generally come in journals with significantly higher JIFs than the other titles. While noting the crudity of JIF as a measure, it is interesting to observe that
BMJ Open, while having a similar number of citations to the OAMJ iteration of
Medicine (as shown in
Table 5), is shown to publish articles that are cited in journals with higher JIFs than journals citing
Medicine OAMJ articles.
One final analysis carried out related to articles published by authors affiliated with the most prolific institutions of the 2004–2013 period. As noted, authors affiliated with all but one of these institutions have continued to publish in
Medicine after its change to an OAMJ, with much greater frequency. It was considered of interest to compare citation rates for articles by authors at these ten institutions (i.e. those listed in the top half of
Table 3) before and after the OAMJ transition, using the method described above. The results presented in
Table 8 suggest that while volume has increased, citations have decreased. Over two-thirds (68.2%) of mega-journal articles by these authors were not cited in the 12–18 months following publication, compared to just 12.5% prior to 2014. Between 2004 and 2013, 8 articles (5.7%) were cited at least 10 times within 18 months of publication, while for 2015–2016 no paper has been cited more than 10 times, and only one article has received more than 5 citations. The weighted mean JIF of the citing journals has also declined significantly (t (4913) = 1.28,
p = 0.007).