ArticleImplementation science communications2022
Collaboration networks of the implementation science centers for cancer control: a social network analysis.
Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 8 citations in OpenAlex.
- Evaluating the Outcomes of the Capacity-Building Support From a Collaborative Network of Implementation Science Technical Assistance Hubs: Protocol for a Mixed Methods Evaluation.JMIR research protocols · 2026Article
- Identifying intervention points to increase the diversity of a research partnership for cancer equity: a descriptive social network analysis.Translational behavioral medicine · 2025Article
- Collaboration and growth in a large research cooperative: A network analytic approach.Evaluation and program planning · 2024Article
- Extending the translational science benefits model to implementation science for cancer prevention and control.Journal of clinical and translational science · 2024Article
- Participatory logic modeling in a multi-site initiative to advance implementation science.Implementation science communications · 2023Article
- Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science.Research square · 2023Article
- Speeding implementation in cancer: The National Cancer Institute's Implementation Science Centers in Cancer Control.Journal of the National Cancer Institute · 2023Article
- Integrating a focus on health equity in implementation science: Case examples from the national cancer institute's implementation science in cancer control centers (ISCJournal of clinical and translational science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 10 institutions in 1 country.
Funding
Abstract
backgroundMulti-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis.
methodsThe National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC
resultsOf the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in IS, 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). One-third (33%) of collaboration ties were among members from different centers. Across all collaboration activities, the network had a density of 14%, suggesting moderate cohesion. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly dispersed network (no single or few central member(s) holding all connections). The most prevalent and densely connected collaboration was in planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration, lowest density (284 ties' 3% density), and the largest number of non-connected members (n=43). Access to the ISC
conclusionsResults establish a baseline for assessing the growth of cross-center collaborations, highlighting specific areas in need of particular growth in network collaborations such as increasing engagement of racial and ethnic minorities and trainees or those with less expertise in IS.
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.