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Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?

Behaviour Research and Therapy(2023)10.1016/j.brat.2023.104342Source: DataRank Database

Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts? is a research paper published in Behaviour Research and Therapy (2023). On theSindex it has a DataRank of 0. It has been cited 28 times.

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Scored on demand from live citation data

Open Access28 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)Impact (FWCI 8.24)OA: greenTopics (22)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Tingting Liu ORCID,Caitlin A. Stamatis ORCID,Tony Liu ORCID,Haoxiang Wang ORCID,Yixuan Meng ORCID

Live enrichment

PubMed:37269650 PMC:PMC10330918 OpenAlex:https://openalex.org/W4378530053

National Institute on Alcohol Abuse and Alcoholism

Grant: 1R01AA028032-01

National Institute on Drug Abuse

Grant: ZIA DA000628

National Institute of Mental Health

Grant: K08MH128640

National Institute of Mental Health

Grant: R01MH111610

National Institute of Mental Health

Grant: R34MH124960

National Institute of Mental Health

Grant: T32MH115882

NIAAA NIH HHS

Grant: R01 AA028032

National Indigenous Australians Agency

National Institutes of Health

FWCI

8.24

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10330918/pdf/nihms-1905904.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0005796723000918?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0005796723000918?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10330918

Fields of Study

Mental Health via WritingDigital Mental Health InterventionsMental Health Treatment and Access

MeSH Terms

CommunicationDepressionHumansLinguisticsText MessagingObservational Studies as Topic

Keywords

Depression (economics)PsychologyLinguisticsCognitive psychologyCommunicationPhilosophyLanguageAffective DisordersMoodSmartphoneSocial TiesDigital PhenotypingPersonal Sensing

Sustainable Development Goals

SDG 0: Quality Education

Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?

FAIR Checklist

Authors (11)

Funding (9 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)