ReviewNucleic acids research2017
Use it or lose it: citations predict the continued online availability of published bioinformatics resources.
Review in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Quest for Orthologs in the era of Data Deluge and AI: Challenges and Innovations in Orthology Prediction and Data Integration.Journal of molecular evolution · 2025Review
- A machine learning-enabled open biodata resource inventory from the scientific literature.PloS one · 2023Article
- Availability of web servers significantly boosts citations rates of bioinformatics methods for protein function and disorder prediction.Bioinformatics advances · 2023Article
- Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications.International journal of molecular sciences · 2022Review
- BloodGen3Module: blood transcriptional module repertoire analysis and visualization using R.Bioinformatics (Oxford, England) · 2021Article
- PredictProtein - Predicting Protein Structure and Function for 29 Years.Nucleic acids research · 2021Article
- A Practical Guide to Metabolomics Software Development.Analytical chemistry · 2021Article
- On the lifetime of bioinformatics web services.Nucleic acids research · 2020Article
- Challenges and recommendations to improve the installability and archival stability of omics computational tools.PLoS biology · 2019Article
- A snapshot of 3649 Web-based services published between 1994 and 2017 shows a decrease in availability after 2 years.Briefings in bioinformatics · 2019Article
- Infrastructures of systems biology that facilitate functional genomic study in rice.Rice (New York, N.Y.) · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Scientific Data Analysis Resources (SDARs) such as bioinformatics programs, web servers and databases are integral to modern science, but previous studies have shown that the Uniform Resource Locators (URLs) linking to them decay in a time-dependent manner, with ∼27% decayed to date. Because SDARs are overrepresented among science's most cited papers over the past 20 years, loss of widely used SDARs could be particularly disruptive to scientific research. We identified URLs in MEDLINE abstracts and used crowdsourcing to identify which reported the creation of SDARs. We used the Internet Archive's Wayback Machine to approximate 'death dates' and calculate citations/year over each SDAR's lifespan. At first glance, decayed SDARs did not significantly differ from available SDARs in their average citations per year over their lifespan or journal impact factor (JIF). But the most cited SDARs were 94% likely to be relocated to another URL versus only 34% of uncited ones. Taking relocation into account, we find that citations are the strongest predictors of current online availability after time since publication, and JIF modestly predictive. This suggests that URL decay is a general, persistent phenomenon affecting all URLs, but the most useful/recognized SDARs are more likely to persist.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.