Pubmed Search Results of NONMEM

2017/04/27

Categories: 임상약리학 Tags: NONMEM

Introduction and Methods

The number of publications containing NONMEM was retrieved from the Pubmed search at 2017-04-27 07:30 KST by Download CSV functionality and the CSV file was processed by R 3.4.0 (R Core Team 2017) and ggplot2 (Wickham and Chang 2016).

Pubmed search

Pubmed search

Results

Plot

Results from a PubMed search for the term, NONMEM were plotted against the year the publication appeared.

library(knitr)
library(ggplot2)
library(dplyr)
timeline <- read.csv("data-raw/timeline.csv", skip = 1, stringsAsFactors = FALSE) %>% 
  mutate(percentage = round(count/sum(count)*100, 2)) %>%
  arrange(year) %>%
  mutate(cum_percent = cumsum(percentage))
ggplot(data=timeline, aes(x=year, y=count)) +
  geom_bar(stat="identity") + guides(fill=FALSE) +
  xlab("Year") + ylab("Number of Articles") +
  ggtitle("Increase of Articles Using NONMEM")
Publications utilizing NONMEM

Figure 1: Publications utilizing NONMEM

(Information Retrieved from Pubmed Search at 2017-04-27 07:30 KST)

Raw data

Results from a PubMed search for the term, NONMEM were listed.

knitr::kable(timeline, caption = "Raw data of the number of publications utilizing NONMEM.")
Table 1: Raw data of the number of publications utilizing NONMEM.
year count percentage cum_percent
1980 1 0.05 0.05
1981 1 0.05 0.10
1982 1 0.05 0.15
1983 3 0.15 0.30
1984 7 0.35 0.65
1985 1 0.05 0.70
1986 3 0.15 0.85
1988 6 0.30 1.15
1989 9 0.44 1.59
1990 7 0.35 1.94
1991 10 0.49 2.43
1992 20 0.99 3.42
1993 14 0.69 4.11
1994 19 0.94 5.05
1995 30 1.48 6.53
1996 35 1.73 8.26
1997 25 1.23 9.49
1998 53 2.62 12.11
1999 39 1.92 14.03
2000 40 1.97 16.00
2001 39 1.92 17.92
2002 55 2.71 20.63
2003 66 3.26 23.89
2004 61 3.01 26.90
2005 94 4.64 31.54
2006 86 4.24 35.78
2007 79 3.90 39.68
2008 107 5.28 44.96
2009 123 6.07 51.03
2010 116 5.73 56.76
2011 111 5.48 62.24
2012 118 5.82 68.06
2013 137 6.76 74.82
2014 130 6.42 81.24
2015 148 7.31 88.55
2016 153 7.55 96.10
2017 79 3.90 100.00

Conclusion

The number of publications utilizing NONMEM tends to increase.

References

R Core Team. 2017. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Wickham, Hadley, and Winston Chang. 2016. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.