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MolabIS - An integrated information system for storing and managing molecular genetics data

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

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
55 Mendeley
citeulike
4 CiteULike
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Title
MolabIS - An integrated information system for storing and managing molecular genetics data
Published in
BMC Bioinformatics, October 2011
DOI 10.1186/1471-2105-12-425
Pubmed ID
Authors

Cong VC Truong, Linn F Groeneveld, Burkhard Morgenstern, Eildert Groeneveld

Abstract

Long-term sample storage, tracing of data flow and data export for subsequent analyses are of great importance in genetics studies. Therefore, molecular labs do need a proper information system to handle an increasing amount of data from different projects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
Brazil 1 2%
Sweden 1 2%
Finland 1 2%
India 1 2%
Belgium 1 2%
Denmark 1 2%
Spain 1 2%
Unknown 46 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 36%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Other 5 9%
Student > Master 5 9%
Other 10 18%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 47%
Computer Science 10 18%
Biochemistry, Genetics and Molecular Biology 4 7%
Engineering 3 5%
Business, Management and Accounting 2 4%
Other 7 13%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2011.
All research outputs
#6,689,787
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#2,555
of 7,236 outputs
Outputs of similar age
#42,216
of 141,444 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 114 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 141,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 114 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.