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Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks

Overview of attention for article published in BMC Bioinformatics, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks
Published in
BMC Bioinformatics, December 2015
DOI 10.1186/s12859-015-0839-y
Pubmed ID
Authors

Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty

Twitter Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Chemistry 1 33%

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 04 January 2016.
All research outputs
#5,103,728
of 10,444,782 outputs
Outputs from BMC Bioinformatics
#2,236
of 4,169 outputs
Outputs of similar age
#113,778
of 316,649 outputs
Outputs of similar age from BMC Bioinformatics
#74
of 137 outputs
Altmetric has tracked 10,444,782 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 4,169 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 316,649 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 63% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.