Evidence map›Paper›PMID 39670357›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2025

A Comprehensive Bibliometric Analysis: Celebrating the Thirtieth Anniversary of the Pacific Symposium on Biocomputing.

Rachit Kumar, Rasika Venkatesh, David Y Zhang, Teri E Klein, Marylyn D Ritchie

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rachit KumarGenomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
Rasika VenkateshGenomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
David Y ZhangGenomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
Teri E KleinDepartment of Biomedical Data Science, Medicine (BMIR) and Genetics (by courtesy), Stanford University, Stanford, CA, USA.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA, USA, marylyn@pennmedicine.upenn.edu.

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Pacific Symposium on Biocomputing 2005/06/07/08/09R13LM006766 · NLM · WASHINGTON STATE UNIVERSITY · PI TERI Ellen KLEIN · 1999 to 2026
$661k
Investigating ancestry-specific genetic variation associated with HLBS phenotypes in patient biobanksF30HL172382 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI David Zhang · 2024 to 2026
$147k
NHGRI NIH HHS T32 HG000046NHLBI NIH HHS F30 HL172382NLM NIH HHS R13 LM006766
6 · The paper itself

Abstract

The 2025 Pacific Symposium on Biocomputing (PSB) represents a remarkable milestone, as it is the thirtieth anniversary of PSB. We use this opportunity to analyze the bibliometric output of 30 years of PSB publications in a wide range of analyses with a focus on various eras that represent important disruptive breakpoints in the field of bioinformatics and biocomputing. These include an analysis of paper topics and keywords, flight emissions produced by travel to PSB by authors, citation and co-authorship networks and metrics, and a broad assessment of diversity and representation in PSB authors. We use the results of these analyses to identify insights that we can carry forward to the upcoming decades of PSB.

Indexed as

BibliometricsComputational BiologyAnniversaries and Special EventsAuthorshipCongresses as TopicHumans

Identifiers

PMID39670357
PMCPMC11649015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.