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Determination of dosage compensation of the mammalian X chromosome by RNA-seq is dependent on analytical approach

Overview of attention for article published in BMC Genomics, March 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
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Title
Determination of dosage compensation of the mammalian X chromosome by RNA-seq is dependent on analytical approach
Published in
BMC Genomics, March 2013
DOI 10.1186/1471-2164-14-150
Pubmed ID
Authors

Nathaniel K Jue, Michael B Murphy, Seth D Kasowitz, Sohaib M Qureshi, Craig J Obergfell, Sahar Elsisi, Robert J Foley, Rachel J O’Neill, Michael J O’Neill

Abstract

An enduring question surrounding sex chromosome evolution is whether effective hemizygosity in the heterogametic sex leads inevitably to dosage compensation of sex-linked genes, and whether this compensation has been observed in a variety of organisms. Incongruence in the conclusions reached in some recent reports has been attributed to different high-throughput approaches to transcriptome analysis. However, recent reports each utilizing RNA-seq to gauge X-linked gene expression relative to autosomal gene expression also arrived at diametrically opposed conclusions regarding X chromosome dosage compensation in mammals.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Italy 1 2%
Czechia 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 46 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Student > Master 8 16%
Researcher 7 14%
Professor > Associate Professor 5 10%
Professor 4 8%
Other 7 14%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 59%
Biochemistry, Genetics and Molecular Biology 16 31%
Computer Science 1 2%
Neuroscience 1 2%
Unknown 3 6%

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 08 March 2013.
All research outputs
#7,074,056
of 12,378,406 outputs
Outputs from BMC Genomics
#3,822
of 7,251 outputs
Outputs of similar age
#67,463
of 144,319 outputs
Outputs of similar age from BMC Genomics
#80
of 182 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 is in the 46th percentile – i.e., 46% 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 144,319 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 52% of its contemporaries.
We're also able to compare this research output to 182 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 54% of its contemporaries.