Writing good software can have more impact than publishing in high impact journals for genomic statisticians
07 Apr 2014Every once in a while we see computational papers published in science journals with high impact factors. Genomics related methods appear quite often in these journals. Several of my junior colleagues express frustration that all their papers get rejected from these journals. I tell them that the same is true for most of my papers and remind them of these examples:
Method | Journal | Year | #Citations |
---|---|---|---|
PLINK | AJHG | 2007 | 6481 |
Bioconductor | Genome Biology | 2004 | 5973 |
RMA | Biostatistics | 2003 | 5674 |
limma | SAGMB | 2004 | 5637 |
quantile normalization | Bioinformatics | 2003 | 4646 |
Bowtie | Genome Biology | 2009 | 3849 |
BWA | Bioinformatics | 2009 | 3327 |
Loess normalization | NAR | 2002 | 3313 |
qvalues | JRSS-B | 2002 | 2758 |
tophat | Bioinformatics | 2008 | 1868 |
vsn | Bioinformatics | 2002 | 1398 |
GCRMA | JASA | 2004 | 1397 |
MACS | Genome Biology | 2008 | 1277 |
deseq | Genome Biology | 2010 | 1264 |
CBS | Biostatistics | 2004 | 1051 |
R/qtl | Bioinformatics | 2003 | 1027 |
Let me know of other examples in the comments.
update: I added one more to the list.