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The Hawaiian Freshwater Algal Database (HfwADB): a laboratory LIMS and online biodiversity resource

Overview of attention for article published in BMC Ecology and Evolution, October 2012
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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6 X users

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Title
The Hawaiian Freshwater Algal Database (HfwADB): a laboratory LIMS and online biodiversity resource
Published in
BMC Ecology and Evolution, October 2012
DOI 10.1186/1472-6785-12-22
Pubmed ID
Authors

Alison R Sherwood, Norman Wang, Amy L Carlile, Jessica M Neumann, Thomas K Wolfgruber, Gernot G Presting

Abstract

Biodiversity databases serve the important role of highlighting species-level diversity from defined geographical regions. Databases that are specially designed to accommodate the types of data gathered during regional surveys are valuable in allowing full data access and display to researchers not directly involved with the project, while serving as a Laboratory Information Management System (LIMS). The Hawaiian Freshwater Algal Database, or HfwADB, was modified from the Hawaiian Algal Database to showcase non-marine algal specimens collected from the Hawaiian Archipelago by accommodating the additional level of organization required for samples including multiple species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Researcher 5 18%
Student > Ph. D. Student 5 18%
Student > Bachelor 3 11%
Professor > Associate Professor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 36%
Environmental Science 4 14%
Computer Science 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Economics, Econometrics and Finance 2 7%
Other 2 7%
Unknown 5 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 November 2012.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,429
of 3,714 outputs
Outputs of similar age
#114,251
of 202,171 outputs
Outputs of similar age from BMC Ecology and Evolution
#22
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 202,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.