Evidence map›Paper›PMID 31435481›Full record

ArticleNetwork science (Cambridge University Press)2017

Coding communications across time: Documenting changes in interaction patterns across adopter categories.

Kar-Hai Chu, Stephanie R Pitts, Heather Wipfli, Thomas W Valente

Abstract read
In one paragraph

Article in Network science (Cambridge University Press), 2017. 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

4 authors.

Kar-Hai ChuCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place Suite 600, Pittsburgh, PA 15213, USA, chuk@pitt.edu.
Stephanie R PittsApplied Physics Laboratory, Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723, USA, stephanie.pitts@jhuapl.edu.
Heather WipfliDepartment of Preventive Medicine, University of Southern California, 2001 North Soto Street, 3rd Floor, Los Angeles, CA 90032, USA, hwipfli@med.usc.edu.
Thomas W ValenteDepartment of Preventive Medicine, University of Southern California, 2001 North Soto Street, 3rd Floor, Los Angeles, CA 90032, USA, tvalente@usc.edu.

Funding

Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
The Global Diffusion of Tobacco ControlR01CA157577 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VALENTE, THOMAS W · 2012 to 2017
$1.8M
AHRQ HHS K12 HS022989NCI NIH HHS R01 CA157577NCI NIH HHS T32 CA009492
6 · The paper itself

Abstract

GLOBALink, a large online network of tobacco control professionals, was active in the promotion of the World Health Organization's Framework Convention on Tobacco Control treaty, an international treaty aimed at reducing the global burden of tobacco-related death and disease. We examined and compared the roles that different countries served in the GLOBALink community during FCTC negotiation and ratification. Previous studies of FCTC ratification found the process adhered to a diffusion of innovation model (Valente et al., 2015). We followed that work by conducting content analyses of discussion messages posted by GLOBALink members representing different countries. Based on the time when they ratified the FCTC, each country was labeled by one of the four adoption stages of the diffusion model and we investigated the amount of shared word use between the different stages. A goodness-of-fit chi-squared test indicated that content was not shared in an expected manner between stages (

Indexed as

content analysisdiffusionglobal tobacco controlonline activism

Identifiers

PMID31435481
PMCPMC6703838

What OpenQuestion holds

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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.