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Implications of high level pseudogene transcription in Mycobacterium leprae

Overview of attention for article published in BMC Genomics, August 2009
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
1 CiteULike
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Title
Implications of high level pseudogene transcription in Mycobacterium leprae
Published in
BMC Genomics, August 2009
DOI 10.1186/1471-2164-10-397
Pubmed ID
Authors

Diana L Williams, Richard A Slayden, Amol Amin, Alejandra N Martinez, Tana L Pittman, Alex Mira, Anirban Mitra, Valakunja Nagaraja, Norman E Morrison, Milton Moraes, Thomas P Gillis

Abstract

The Mycobacterium leprae genome has less than 50% coding capacity and 1,133 pseudogenes. Preliminary evidence suggests that some pseudogenes are expressed. Therefore, defining pseudogene transcriptional and translational potentials of this genome should increase our understanding of their impact on M. leprae physiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Chile 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 81 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 16 19%
Student > Master 15 17%
Student > Bachelor 11 13%
Student > Postgraduate 4 5%
Other 8 9%
Unknown 15 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 38%
Biochemistry, Genetics and Molecular Biology 20 23%
Immunology and Microbiology 8 9%
Medicine and Dentistry 6 7%
Nursing and Health Professions 1 1%
Other 2 2%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 October 2017.
All research outputs
#3,098,809
of 25,371,288 outputs
Outputs from BMC Genomics
#972
of 11,244 outputs
Outputs of similar age
#10,714
of 104,646 outputs
Outputs of similar age from BMC Genomics
#8
of 61 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 104,646 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 89% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.