Evidence map›Paper›PMID 27122647›Full record

ArticleScientometrics

Research data explored: an extended analysis of citations and altmetrics.

Isabella Peters, Peter Kraker, Elisabeth Lex, Christian Gumpenberger, Juan Gorraiz

Abstract read
In one paragraph

Article in Scientometrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Global visibility of publications through Digital Object Identifiers.Frontiers in research metrics and analytics · 2023
    Article
  6. Alternative publication metrics in the time of COVID-19.Proceedings (Baylor University. Medical Center) · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. What Constitutes Authorship in the Social Sciences?Frontiers in research metrics and analytics · 2021
    Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

5 authors.

Isabella PetersZBW Leibniz Information Centre for Economics, Düsternbrooker Weg 120, 24105 Kiel, Germany ; Kiel University, Christian-Albrechts-Platz 4, 24118 Kiel, Germany.
Peter KrakerKnow-Center, Inffeldgasse 13, 8010 Graz, Austria.
Elisabeth LexKnowledge Technologies Institute, Graz University of Technology, Inffeldgasse 13, 8010 Graz, Austria.
Christian GumpenbergerVienna University Library, Department of Bibliometrics & Publication Strategies, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
Juan GorraizVienna University Library, Department of Bibliometrics & Publication Strategies, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we explore the citedness of research data, its distribution over time and its relation to the availability of a digital object identifier (DOI) in the Thomson Reuters database Data Citation Index (DCI). We investigate if cited research data "impacts" the (social) web, reflected by altmetrics scores, and if there is any relationship between the number of citations and the sum of altmetrics scores from various social media platforms. Three tools are used to collect altmetrics scores, namely PlumX, ImpactStory, and Altmetric.com, and the corresponding results are compared. We found that out of the three altmetrics tools, PlumX has the best coverage. Our experiments revealed that research data remain mostly uncited (about 85 %), although there has been an increase in citing data sets published since 2008. The percentage of the number of cited research data with a DOI in DCI has decreased in the last years. Only nine repositories are responsible for research data with DOIs and two or more citations. The number of cited research data with altmetrics "foot-prints" is even lower (4-9 %) but shows a higher coverage of research data from the last decade. In our study, we also found no correlation between the number of citations and the total number of altmetrics scores. Yet, certain data types (i.e. survey, aggregate data, and sequence data) are more often cited and also receive higher altmetrics scores. Additionally, we performed citation and altmetric analyses of all research data published between 2011 and 2013 in four different disciplines covered by the DCI. In general, these results correspond very well with the ones obtained for research data cited at least twice and also show low numbers in citations and in altmetrics. Finally, we observed that there are disciplinary differences in the availability and extent of altmetrics scores.

Indexed as

AltmetricsCitation analysisCitednessCo-citation analysisData Citation IndexResearch data

Identifiers

PMID27122647
PMCPMC4833815

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.