Evidence map›Paper›PMID 32153438›Full record

ArticleFrontiers in psychiatry2020

Inspecting Vulnerability to Depression From Social Media Affect.

Lucia Lushi Chen, Christopher H K Cheng, Tao Gong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. How Framed Messages Influence Depression Assessment Intentions: Interactivity of Social Media as a Moderator.International journal of environmental research and public health · 2021
    Article
  2. Article
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 at 3 institutions in 4 countries.

Lucia Lushi ChenSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Christopher H K ChengDepartment of Social and Behavioral Sciences, City University of Hong Kong, Hong Kong, Hong Kong.
Tao GongCentre for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, Guangzhou, China.
City University of Hong Kong · HKEducational Testing Service · USUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affect describes a person's feelings or emotions in reaction to stimuli, and affective expressions were found to be related to depression in social media. This study examined the longitudinal pattern of affect on a popular Chinese social media platform: Weibo. We collected 1,664 Chinese Weibo users' self-reported CES-D scores

Indexed as

affectdepressionruminationsocial mediastressful life eventsWeibo

Identifiers

PMID32153438
PMCPMC7047149
OpenAlexW3008605682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.