jvwong
commented
1 year ago Interesting edge case: The URL for a paper is not recognized by doi.org. In this case, the biorxiv link is https://www.biorxiv.org/content/10.1101/2023.03.14.532571 (200 OK) while the doi.org one is https://doi.org/10.1101/2023.03.14.532571 (error DOI NOT FOUND)
Data:
{
id: "10.1101/2023.03.14.532571",
score: 8.927840580391445,
terms: ["alzheimer"],
match: {
alzheimer: ["abstract"]
},
title: "Single-cell expression predicts neuron specific proteinhomeostasis networks",
authors: "Pechmann, S.",
category: "genomics",
abstract: "The protein homeostasis network keeps proteins in their correct shapes and avoids unwanted protein aggregation. In turn, the accumulation of aberrantly misfolded proteins has been directly associated with the onset of aging-associated neurodegenerative diseases such as Alzheimer's and Parkinson's. However, a detailed and rational understanding of how protein homeostasis is achieved in health, and how it can be targeted for therapeutic intervention in diseases remains missing. Here, large-scale single-cell expression data from the Allen Brain Map is analyzed to investigate the transcription regulation of the core protein homeostasis network across the human brain. Remarkably, distinct expression profiles suggest specialized protein homeostasis networks with systematic adaptations in excitatory neurons, inhibitory neurons, and non-neuronal cells. Moreover, several chaperones and Ubiquitin ligases are found transcriptionally coregulated with genes important for synapse formation and maintenance, thus linking protein homeostasis to the regulation of neuronal function. Finally, evolutionary analyses highlight the conservation of an elevated interaction density in the chaperone network, suggesting that one of the most exciting aspects of chaperone action may yet be discovered in their collective action at the systems level. More generally, our work highlights the power of computational analyses for breaking down complexity and gaining complementary insights into fundamental biological problems.",
date: "2023-03-15T00:00:00.000Z",
server: "biorxiv",
doi: "10.1101/2023.03.14.532571"
}
Suhyma
Description
Q: What is the name of the feature?
A: Improving redirects for preprint links
Q: What does this feature enable?
A: We want this feature to reduce the number of redirects faced by the user. Currently, a lot of the biorXiv and medrXiv preprint links on the dashboard have many redirects to pull up the final paper/latest version. This means extra wait time on the user's end, which results in an unpleasant user experience overall.
Q: What information must be provided for this feature?
A: For each paper, we'll need to have its DOI and the final link it resolves to. We also should measure time taken for a few papers to redirect and compare this time before and after the solution is implemented.
Q: What are the applicable constraints, e.g. compatibility or performance?
A: Parsing through all the papers to find the latest "final" link when displaying the dashboard UI might take the same amount of time (or even longer) than waiting for the existing DOI links to redirect. Also, so far it seems like fetch() only tells us whether or not there was a redirect, and not the number of redirects that occurred. When using the DOI links, we always have at least one redirect, so the information provided by fetch() is not very helpful in our case. As well, there's a constraint to how we can fetch the final URL - we don't want to send too many requests at once to the servers when looking for the final URL for all the topics. A sleep/wait can be implemented between groups of requests to lessen the load on the servers.
Specification
Details