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The data paper: a mechanism to incentivize data publishing in biodiversity science

Overview of attention for article published in BMC Bioinformatics, December 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 5,600)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
blogs
6 blogs
policy
1 policy source
twitter
30 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
211 Mendeley
citeulike
9 CiteULike
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Title
The data paper: a mechanism to incentivize data publishing in biodiversity science
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-s15-s2
Pubmed ID
Authors

Vishwas Chavan, Lyubomir Penev

Abstract

Free and open access to primary biodiversity data is essential for informed decision-making to achieve conservation of biodiversity and sustainable development. However, primary biodiversity data are neither easily accessible nor discoverable. Among several impediments, one is a lack of incentives to data publishers for publishing of their data resources. One such mechanism currently lacking is recognition through conventional scholarly publication of enriched metadata, which should ensure rapid discovery of 'fit-for-use' biodiversity data resources.

Twitter Demographics

The data shown below were collected from the profiles of 30 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 3%
Brazil 5 2%
Germany 5 2%
United States 4 2%
Spain 4 2%
Netherlands 2 <1%
Finland 1 <1%
Hong Kong 1 <1%
Austria 1 <1%
Other 13 6%
Unknown 169 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 26%
Student > Ph. D. Student 31 15%
Student > Master 29 14%
Other 21 10%
Librarian 19 9%
Other 42 20%
Unknown 14 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 38%
Computer Science 35 17%
Social Sciences 23 11%
Environmental Science 21 10%
Earth and Planetary Sciences 6 3%
Other 23 11%
Unknown 22 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 16 June 2020.
All research outputs
#247,392
of 15,315,383 outputs
Outputs from BMC Bioinformatics
#11
of 5,600 outputs
Outputs of similar age
#1,907
of 214,942 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 343 outputs
Altmetric has tracked 15,315,383 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,600 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 214,942 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 99% of its contemporaries.
We're also able to compare this research output to 343 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 99% of its contemporaries.