Badomics words and the power and peril of the ome-meme
Badomics words and the power and peril of the ome-meme is a research paper published in GigaScience (2012). On theSindex it has a DataRank of 1.8. It has been cited 15 times, with 15 citing works in its 1-hop citation network. Its calibrated FAIR score is 55/100.
Abstract
Languages and cultures, like organisms, are constantly evolving. Words, like genes, can come and go-spreading around or going extinct. Here I discuss the spread of one small subset of words that are meant to convey "comprehensiveness" in some way: the "omes" and other words derived from "genome" or "genomics." I focus on a bad aspect of this spread the use of what I refer to as "badomics" words. I discuss why these should be considered bad and how to distinguish badomics words from good ones.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
- Open Access
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
DataRank Breakdown
Base Score Contribution
0.416
From this paper's citation signal
Citation Network Contribution
1.4
From 13 citing papers with measurable signal
Top 1 citer driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- Large and linked in scientific publishingGigaScience2012203 citationsDataRank 11.4Top 19%
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 23% comes from its base citations and 77% from the citation network (13 citing papers contributed measurable signal).
- Base score B(p)
- log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
- Network N(p)
- Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
- Damping factor d = 0.85
- DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
- Self-citations excluded
- Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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