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The Biodiversity Informatics Potential Index

Overview of attention for article published in BMC Bioinformatics, December 2011
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
3 CiteULike
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Title
The Biodiversity Informatics Potential Index
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-s15-s4
Pubmed ID
Authors

Arturo H Ariño, Vishwas Chavan, Nick King

Abstract

Biodiversity informatics is a relatively new discipline extending computer science in the context of biodiversity data, and its development to date has not been uniform throughout the world. Digitizing effort and capacity building are costly, and ways should be found to prioritize them rationally. The proposed 'Biodiversity Informatics Potential (BIP) Index' seeks to fulfill such a prioritization role. We propose that the potential for biodiversity informatics be assessed through three concepts: (a) the intrinsic biodiversity potential (the biological richness or ecological diversity) of a country; (b) the capacity of the country to generate biodiversity data records; and (c) the availability of technical infrastructure in a country for managing and publishing such records.

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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 3%
Germany 2 3%
Spain 2 3%
Colombia 1 1%
Norway 1 1%
Kenya 1 1%
France 1 1%
Finland 1 1%
Czechia 1 1%
Other 5 6%
Unknown 62 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 28%
Student > Ph. D. Student 12 15%
Student > Master 10 13%
Other 9 11%
Professor 5 6%
Other 16 20%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 48%
Environmental Science 12 15%
Computer Science 9 11%
Biochemistry, Genetics and Molecular Biology 4 5%
Business, Management and Accounting 2 3%
Other 8 10%
Unknown 6 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 April 2012.
All research outputs
#1,776,411
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#764
of 4,576 outputs
Outputs of similar age
#15,987
of 116,159 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 31 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 116,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 31 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 93% of its contemporaries.