Evidence map›Paper›PMID 30778654›Full record

ArticleRheumatology international2019

#EULAR2018: The Annual European Congress of Rheumatology-a Twitter hashtag analysis.

José B Negrón

Abstract read
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Review
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

1 author.

José B NegrónInstituto de Salud Musculoesquelética, Calle Conde de la Cimera, 6, 28040, Madrid, Spain. negron.ti@gmail.com.ORCID 0000-0003-4659-5508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to explore the hashtag #EULAR2018 on Twitter during the period of the European League Against Rheumatism (EULAR) Annual European Congress to better comprehend the implications and patterns of social media (SM) data and their possible impact on users interested in rheumatic and musculoskeletal diseases. A mixed methods study combining SM performance data with qualitative content analysis of tweets was conducted. All the tweets publicly posted with #EULAR2018 were tracked using Symplur™ and Keyhole. Parameters such as number of users, engagement, reach, impressions, gender, source used to tweet, type of post, countries, trending topics, and main themes were analyzed. A total of 10,431 tweets using #EULAR2018 were tracked. Most of them were original and reached by > 2,950,000 users. Some of the retweets came from non-attendees to the congress. Males tweeted more than females; however, this gender disparity was not notable among the influential users. "Patients" were identified as the key topic. Sharing knowledge from the in situ congress, marketing or advertising, and sharing experiences or thoughts were identified as the main themes. Some dissonances between EULAR discourse and behavior that require further attention were identified. The EULAR congress is a staggering source of information with the potential of generating debate and promoting new practices in the rheumatology field, regardless of the place of origin of the users exposed to it, or whether or not the users attended the congress. EULAR should recognize the value and power of these data and incorporate them in the benchmarking of challenges and opportunities for the organization.

Indexed as

Congresses as TopicInformation DisseminationRheumatologySocial MediaEuropeHumansQualitative ResearchSocieties, MedicalEULARQualitative researchRheumatologySocial media researchTwitter

Identifiers

What OpenQuestion holds

Textmetadata
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.