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Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community

Overview of attention for article published in BMC Bioinformatics, November 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

blogs
3 blogs
twitter
2 tweeters

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
206 Mendeley
citeulike
12 CiteULike
connotea
6 Connotea
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Title
Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community
Published in
BMC Bioinformatics, November 2009
DOI 10.1186/1471-2105-10-s14-s2
Pubmed ID
Authors

Vishwas S Chavan, Peter Ingwersen

Abstract

Currently primary scientific data, especially that dealing with biodiversity, is neither easily discoverable nor accessible. Amongst several impediments, one is a lack of professional recognition of scientific data publishing efforts. A possible solution is establishment of a 'Data Publishing Framework' which would encourage and recognise investments and efforts by institutions and individuals towards management, and publishing of primary scientific data potentially on a par with recognitions received for scholarly publications.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 12%
Germany 6 3%
United Kingdom 5 2%
Netherlands 3 1%
Indonesia 2 <1%
Mexico 2 <1%
France 1 <1%
Kenya 1 <1%
Brazil 1 <1%
Other 12 6%
Unknown 149 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 31%
Student > Ph. D. Student 35 17%
Other 25 12%
Student > Master 23 11%
Professor > Associate Professor 12 6%
Other 39 19%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 38%
Computer Science 49 24%
Environmental Science 21 10%
Social Sciences 17 8%
Arts and Humanities 7 3%
Other 19 9%
Unknown 14 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 August 2011.
All research outputs
#956,983
of 17,351,915 outputs
Outputs from BMC Bioinformatics
#153
of 6,150 outputs
Outputs of similar age
#4,800
of 102,133 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 102,133 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them