Comparison of the current RefSeq, Ensembl and EST databases for counting genes and gene discovery is a dataset published in FEBS Letters (2005). On theSindex it has a DataRank of 1.9, placing it in the top 34.9% of the data-sharing corpus. It has been cited 39 times, with 31 citing works in its 1-hop citation network.
Large amounts of refined sequence material in the form of predicted, curated and annotated genes and expressed sequences tags (ESTs) have recently been added to the NCBI databases. We matched the transcript‐sequences of RefSeq, Ensembl and dbEST in an attempt to provide an updated overview of how many unique human genes can be found. The results indicate that there are about 25 000 unique genes in the union of RefSeq and Ensembl with 12–18% and 8–13% of the genes in each set unique to the other set, respectively. About 20% of all genes had splice variants. There are a considerable number of ESTs (2 200 000) that do not match the identified genes and we used an in‐house pipeline to identify 22 novel genes from Genscan predictions that have considerable EST coverage. The study provides an insight into the current status of human gene catalogues and shows that considerable refinement of methods and datasets is needed to come to a conclusive gene count.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.553
From this paper's citation signal
Citation Network Contribution
1.4
From 22 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 29% comes from its base citations and 71% from the citation network (22 citing papers contributed measurable signal).
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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