Evidence map›Paper›PMID 26977205›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada

Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference.

Hendrik Borgmann, Jan-Henning Woelm, Axel Merseburger, Tim Nestler, Johannes Salem, Maximilian P Brandt, Axel Haferkamp, Stacy Loeb

Abstract read
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Tweeting the Meeting.Circulation. Cardiovascular quality and outcomes · 2018
    Article
  7. Article
  8. Prostate cancer and social media.Nature reviews. Urology · 2018
    Review
  9. Article
  10. The use of Twitter to facilitate sharing of clinical expertise in urology.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  11. Article
  12. Review
  13. Review
  14. 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

8 authors.

Hendrik BorgmannDepartment of Urology, University Hospital Frankfurt, Germany;
Jan-Henning WoelmDepartment of Urology, University Hospital Frankfurt, Germany;
Axel MerseburgerDepartment of Urology, University Hospital Luebeck, Germany;
Tim NestlerDepartment of Urology, Armed Forces Hospital Koblenz, Germany;
Johannes SalemDepartment of Urology, St Joseph Hospital, Dortmund, Germany;
Maximilian P BrandtDepartment of Urology, University Hospital Frankfurt, Germany;
Axel HaferkampDepartment of Urology, University Hospital Frankfurt, Germany;
Stacy LoebDepartment of Urology and Population Health, New York University and Manhattan Veterans Affairs Medical Center, NY, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe microblogging social media platform Twitter is increasingly being adopted in the urologic field. We aimed to analyze participants, tweet strategies, and tweet content of the Twitter discussion at a urologic conference.

methodsA comprehensive analysis of the Twitter activity at the European Association of Urology Congress 2013 (#eau2013) was performed, including characteristics of user profiles, engagement and popularity measurements, characteristics and timing of tweets, and content analysis.

resultsOf 218 Twitter contributors, doctors (45%) were the most frequent, ahead of associations (15%), companies (10%), and journals (3%). However, journals had the highest tweet/participant rate (22 tweets/participant), profile activity (median: 1177, total tweets, 1805 followers, 979 following), and profile popularity (follower/following ratio: 2.1; retweet rank percentile: 96%). Links in a profile were associated with higher engagement (p<0.0001) and popularity (p<0.0001). Of 1572 tweets, 57% were original tweets, 71% contained mentions, 20% contained links, and 25% included pictures. The majority of tweets (88%) were during conference hours, with an average of 24.7 tweets/hour and a peak activity of 71 tweets/hour. Overall, 59% of tweets were informative, led by the topics uro-oncology (21%), urologic research (21%), and urotechnology (12%). Limitations include the analysis of a single conference analysis, assessment of global profile and not domain-specific activity, and the rapid evolution in Twitter-using habits.

conclusionResults of this single conference qualitative analysis are promising for an enrichment of the scientific discussions at urologic conferences through the use of Twitter.

Identifiers

PMID26977205
PMCPMC4771557

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.