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Large-scale transcriptome sequencing and gene analyses in the crab-eating macaque (Macaca fascicularis) for biomedical research

Overview of attention for article published in BMC Genomics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Large-scale transcriptome sequencing and gene analyses in the crab-eating macaque (Macaca fascicularis) for biomedical research
Published in
BMC Genomics, May 2012
DOI 10.1186/1471-2164-13-163
Pubmed ID
Authors

Jae-Won Huh, Young-Hyun Kim, Sang-Je Park, Dae-Soo Kim, Sang-Rae Lee, Kyoung-Min Kim, Kang-Jin Jeong, Ji-Su Kim, Bong-Seok Song, Bo-Woong Sim, Sun-Uk Kim, Sang-Hyun Kim, Kyu-Tae Chang

Abstract

As a human replacement, the crab-eating macaque (Macaca fascicularis) is an invaluable non-human primate model for biomedical research, but the lack of genetic information on this primate has represented a significant obstacle for its broader use.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Malaysia 1 3%
Italy 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 8 21%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Student > Master 2 5%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 42%
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Environmental Science 1 3%
Other 3 8%
Unknown 5 13%

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 04 May 2012.
All research outputs
#592,424
of 3,685,046 outputs
Outputs from BMC Genomics
#531
of 3,389 outputs
Outputs of similar age
#16,444
of 85,120 outputs
Outputs of similar age from BMC Genomics
#28
of 163 outputs
Altmetric has tracked 3,685,046 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,389 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% 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 85,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.