Demo Data from SIGIR 2026 / reviewers in the wild / expert
Annemiek J. Linn
dblp:117/6562
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-0912-3712ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › information seeking
health information seeking |
0.4 | 1 | 2020 | Different platforms for different patients' needs: Automatic content analysis of different online health information platforms · Int. J. Hum. Comput. Stud. 2020 |
Methods — techniques the papers use, named apart from their topics
automatic content analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Different platforms for different patients' needs: Automatic content analysis of different online health information platforms
Remco Sanders, Annemiek J. Linn, Theo B. Araujo, Rens Vliegenthart, Mies C. van Eenbergen, Julia C. M. van Weert |
Int. J. Hum. Comput. Stud. | 2 |
| 2012 | The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literatureabstractBACKGROUND: Many patients experience difficulties in adhering to long-term treatment. Although patients' reasons for not being adherent are diverse, one of the most commonly reported barriers is forgetfulness. Reminding patients to take their medication may provide a solution. Electronic reminders (automatically sent reminders without personal contact between the healthcare provider and patient) are now increasingly being used in the effort to improve adherence. OBJECTIVE: To examine the effectiveness of interventions using electronic reminders in improving patients' adherence to chronic medication. METHODS: A comprehensive literature search was conducted in PubMed, Embase, PsycINFO, CINAHL and Cochrane Central Register of Controlled Trials. Electronic searches were supplemented by manual searching of reference lists and reviews. Two reviewers independently screened all citations. Full text was obtained from selected citations and screened for final inclusion. The methodological quality of studies was assessed. RESULTS: Thirteen studies met the inclusion criteria. Four studies evaluated short message service (SMS) reminders, seven audiovisual reminders from electronic reminder devices (ERD), and two pager messages. Best evidence synthesis revealed evidence for the effectiveness of electronic reminders, provided by eight (four high, four low quality) studies showing significant effects on patients' adherence, seven of which measured short-term effects (follow-up period <6 months). Improved adherence was found in all but one study using SMS reminders, four studies using ERD and one pager intervention. In addition, one high quality study using an ERD found subgroup effects. CONCLUSION: This review provides evidence for the short-term effectiveness of electronic reminders, especially SMS reminders. However, long-term effects remain unclear. Marcia Vervloet, Annemiek J. Linn, Julia C. M. van Weert, Dinny H. de Bakker, Marcel L. Bouvy, Liset van Dijk |
J. Am. Medical Informatics Assoc. | 2 |