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Deep sequencing reveals a novel class of bidirectional promoters associated with neuronal genes

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
2 CiteULike
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Title
Deep sequencing reveals a novel class of bidirectional promoters associated with neuronal genes
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-457
Pubmed ID
Authors

Hai Hu, Liu He, Philipp Khaitovich

Abstract

Comprehensive annotation of transcripts expressed in a given tissue is a critical step towards the understanding of regulatory and functional pathways that shape the transcriptome.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Netherlands 1 2%
Russia 1 2%
Japan 1 2%
United States 1 2%
Unknown 52 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 16 28%
Professor 8 14%
Student > Master 6 11%
Student > Bachelor 4 7%
Other 6 11%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 54%
Biochemistry, Genetics and Molecular Biology 17 30%
Neuroscience 3 5%
Medicine and Dentistry 2 4%
Psychology 1 2%
Other 1 2%
Unknown 2 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 June 2014.
All research outputs
#6,682,498
of 12,378,406 outputs
Outputs from BMC Genomics
#3,351
of 7,251 outputs
Outputs of similar age
#75,535
of 197,747 outputs
Outputs of similar age from BMC Genomics
#89
of 261 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 197,747 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 60% of its contemporaries.
We're also able to compare this research output to 261 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 63% of its contemporaries.