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Identification of common and cell type specific LXXLL motif EcR cofactors using a bioinformatics refined candidate RNAi screen in Drosophila melanogastercell lines

Overview of attention for article published in BMC Developmental Biology, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Identification of common and cell type specific LXXLL motif EcR cofactors using a bioinformatics refined candidate RNAi screen in Drosophila melanogastercell lines
Published in
BMC Developmental Biology, November 2011
DOI 10.1186/1471-213x-11-66
Pubmed ID
Authors

Melissa B Davis, Inigo SanGil, Grace Berry, Rashidat Olayokun, Lori H Neves

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Ph. D. Student 7 19%
Student > Doctoral Student 4 11%
Student > Bachelor 2 5%
Unspecified 2 5%
Other 3 8%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 41%
Biochemistry, Genetics and Molecular Biology 8 22%
Unspecified 2 5%
Medicine and Dentistry 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 November 2011.
All research outputs
#5,947,476
of 23,486,774 outputs
Outputs from BMC Developmental Biology
#103
of 372 outputs
Outputs of similar age
#35,893
of 143,457 outputs
Outputs of similar age from BMC Developmental Biology
#2
of 5 outputs
Altmetric has tracked 23,486,774 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 372 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 71% 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 143,457 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 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.