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The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness

Overview of attention for article published in Environmental Microbiome, July 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 786)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
1 patent

Citations

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9 Dimensions

Readers on

mendeley
45 Mendeley
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2 CiteULike
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Title
The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness
Published in
Environmental Microbiome, July 2012
DOI 10.4056/sigs.2675953
Pubmed ID
Authors

Konstantinos Liolios, Lynn Schriml, Lynette Hirschman, Ioanna Pagani, Bahador Nosrat, Peter Sterk, Owen White, Philippe Rocca-Serra, Susanna-Assunta Sansone, Chris Taylor, Nikos C. Kyrpides, Dawn Field

Abstract

Variability in the extent of the descriptions of data ('metadata') held in public repositories forces users to assess the quality of records individually, which rapidly becomes impractical. The scoring of records on the richness of their description provides a simple, objective proxy measure for quality that enables filtering that supports downstream analysis. Pivotally, such descriptions should spur on improvements. Here, we introduce such a measure - the 'Metadata Coverage Index' (MCI): the percentage of available fields actually filled in a record or description. MCI scores can be calculated across a database, for individual records or for their component parts (e.g., fields of interest). There are many potential uses for this simple metric: for example; to filter, rank or search for records; to assess the metadata availability of an ad hoc collection; to determine the frequency with which fields in a particular record type are filled, especially with respect to standards compliance; to assess the utility of specific tools and resources, and of data capture practice more generally; to prioritize records for further curation; to serve as performance metrics of funded projects; or to quantify the value added by curation. Here we demonstrate the utility of MCI scores using metadata from the Genomes Online Database (GOLD), including records compliant with the 'Minimum Information about a Genome Sequence' (MIGS) standard developed by the Genomic Standards Consortium. We discuss challenges and address the further application of MCI scores; to show improvements in annotation quality over time, to inform the work of standards bodies and repository providers on the usability and popularity of their products, and to assess and credit the work of curators. Such an index provides a step towards putting metadata capture practices and in the future, standards compliance, into a quantitative and objective framework.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 16%
India 1 2%
Brazil 1 2%
Tunisia 1 2%
United Kingdom 1 2%
Unknown 34 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Other 8 18%
Student > Ph. D. Student 6 13%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Other 6 13%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Computer Science 9 20%
Biochemistry, Genetics and Molecular Biology 5 11%
Social Sciences 3 7%
Environmental Science 2 4%
Other 5 11%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 February 2023.
All research outputs
#2,595,447
of 25,374,647 outputs
Outputs from Environmental Microbiome
#46
of 786 outputs
Outputs of similar age
#16,598
of 179,586 outputs
Outputs of similar age from Environmental Microbiome
#1
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 179,586 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 90% of its contemporaries.
We're also able to compare this research output to 10 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