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Adventures in data citation: sorghum genome data exemplifies the new gold standard

Overview of attention for article published in BMC Research Notes, July 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
3 blogs
twitter
33 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Title
Adventures in data citation: sorghum genome data exemplifies the new gold standard
Published in
BMC Research Notes, July 2012
DOI 10.1186/1756-0500-5-223
Pubmed ID
Authors

Scott C Edmunds, Tom J Pollard, Brian Hole, Alexandra T Basford

Abstract

Scientific progress is driven by the availability of information, which makes it essential that data be broadly, easily and rapidly accessible to researchers in every field. In addition to being good scientific practice, provision of supporting data in a convenient way increases experimental transparency and improves research efficiency by reducing unnecessary duplication of experiments. There are, however, serious constraints that limit extensive data dissemination. One such constraint is that, despite providing a major foundation of data to the advantage of entire community, data producers rarely receive the credit they deserve for the substantial amount of time and effort they spend creating these resources. In this regard, a formal system that provides recognition for data producers would serve to incentivize them to share more of their data. The process of data citation, in which the data themselves are cited and referenced in journal articles as persistently identifiable bibliographic entities, is a potential way to properly acknowledge data output. The recent publication of several sorghum genomes in Genome Biology is a notable first example of good data citation practice in the field of genomics and demonstrates the practicalities and formatting required for doing so. It also illustrates how effective use of persistent identifiers can augment the submission of data to the current standard scientific repositories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 14%
United Kingdom 3 7%
Hong Kong 1 2%
Germany 1 2%
Luxembourg 1 2%
Unknown 30 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Other 8 19%
Student > Ph. D. Student 7 17%
Student > Master 6 14%
Librarian 5 12%
Other 6 14%
Readers by discipline Count As %
Computer Science 17 40%
Agricultural and Biological Sciences 10 24%
Medicine and Dentistry 4 10%
Social Sciences 3 7%
Business, Management and Accounting 1 2%
Other 4 10%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 29 November 2023.
All research outputs
#941,020
of 24,991,957 outputs
Outputs from BMC Research Notes
#91
of 4,477 outputs
Outputs of similar age
#4,829
of 169,400 outputs
Outputs of similar age from BMC Research Notes
#5
of 102 outputs
Altmetric has tracked 24,991,957 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 97% 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 169,400 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 97% of its contemporaries.
We're also able to compare this research output to 102 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 96% of its contemporaries.