Evidence map›Paper›PMID 42631235›Full record

ArticlePNAS nexus2026

A test of time: Modeling the long-term success of crowd collaborations.

Abraham Israeli, David Jurgens, Daniel M Romero

Abstract read
In one paragraph

Article in PNAS nexus, 2026. 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

3 authors.

Abraham IsraeliSchool of Information, University of Michigan, 2200 Hayward Street, Ann Arbor, 48109 MI, USA.ORCID https://orcid.org/0000-0002-9639-2947
David JurgensSchool of Information, University of Michigan, 2200 Hayward Street, Ann Arbor, 48109 MI, USA.
Daniel M RomeroSchool of Information, University of Michigan, 2200 Hayward Street, Ann Arbor, 48109 MI, USA.ORCID https://orcid.org/0000-0002-8351-3463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet has significantly expanded the potential for global collaboration, allowing millions of users to contribute to projects like Wikipedia. While some of these collaborative efforts see early success, their long-term success is key for lasting impact. Despite its importance, this dimension of success remains largely unexplored. Prior work has assessed the success of online collaborations, however, most approaches are time-agnostic, evaluating success without considering its longevity. Research on the factors that ensure the long-term preservation of high-quality standards in online collaboration is scarce. We address this gap. We propose a novel metric, "Sustainable Success," which measures the ability of collaborative efforts to maintain their quality over time. We introduce the

Indexed as

computational social sciencecrowd collaborationWikipedia

Identifiers

PMID42631235
PMCPMC13496240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.