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Key components of data publishing: using current best practices to develop a reference model for data publishing

Overview of attention for article published in International Journal on Digital Libraries, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 255)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
3 blogs
twitter
21 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
1 CiteULike
Title
Key components of data publishing: using current best practices to develop a reference model for data publishing
Published in
International Journal on Digital Libraries, June 2016
DOI 10.1007/s00799-016-0178-2
Authors

Claire C. Austin, Theodora Bloom, Sünje Dallmeier-Tiessen, Varsha K. Khodiyar, Fiona Murphy, Amy Nurnberger, Lisa Raymond, Martina Stockhause, Jonathan Tedds, Mary Vardigan, Angus Whyte

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Spain 1 <1%
United States 1 <1%
Switzerland 1 <1%
Unknown 106 96%

Demographic breakdown

Readers by professional status Count As %
Librarian 26 24%
Other 17 15%
Student > Master 15 14%
Researcher 10 9%
Student > Doctoral Student 8 7%
Other 18 16%
Unknown 16 15%
Readers by discipline Count As %
Social Sciences 25 23%
Computer Science 22 20%
Agricultural and Biological Sciences 7 6%
Medicine and Dentistry 7 6%
Business, Management and Accounting 6 5%
Other 22 20%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2017.
All research outputs
#1,038,994
of 24,901,761 outputs
Outputs from International Journal on Digital Libraries
#5
of 255 outputs
Outputs of similar age
#20,052
of 361,603 outputs
Outputs of similar age from International Journal on Digital Libraries
#2
of 13 outputs
Altmetric has tracked 24,901,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 255 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,603 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.