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Evaluation of read count based RNAseq analysis methods

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
1 CiteULike
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Title
Evaluation of read count based RNAseq analysis methods
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-s8-s2
Pubmed ID
Authors

Yan Guo, Chung-I Li, Fei Ye, Yu Shyr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 2 1%
Brazil 2 1%
Austria 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Slovakia 1 <1%
Czechia 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 153 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 24%
Student > Master 34 20%
Researcher 29 17%
Student > Bachelor 11 7%
Student > Doctoral Student 10 6%
Other 34 20%
Unknown 9 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 46%
Biochemistry, Genetics and Molecular Biology 39 23%
Medicine and Dentistry 8 5%
Unspecified 8 5%
Computer Science 6 4%
Other 17 10%
Unknown 12 7%
Attention Score in Context

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 11 July 2022.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#97,001
of 320,286 outputs
Outputs of similar age from BMC Genomics
#71
of 207 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 320,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 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 62% of its contemporaries.