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Analysis of a set of Australian northern brown bandicoot expressed sequence tags with comparison to the genome sequence of the South American grey short tailed opossum

Overview of attention for article published in BMC Genomics, February 2007
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 blog
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1 X user

Citations

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21 Mendeley
Title
Analysis of a set of Australian northern brown bandicoot expressed sequence tags with comparison to the genome sequence of the South American grey short tailed opossum
Published in
BMC Genomics, February 2007
DOI 10.1186/1471-2164-8-50
Pubmed ID
Authors

Michelle L Baker, Sandra Indiviglio, April M Nyberg, George H Rosenberg, Kerstin Lindblad-Toh, Robert D Miller, Anthony T Papenfuss

Abstract

Expressed sequence tags (ESTs) have been used for rapid gene discovery in a variety of organisms and provide a valuable resource for whole genome annotation. Although the genome of one marsupial, the opossum Monodelphis domestica, has now been sequenced, no EST datasets have been reported from any marsupial species. In this study we describe an EST dataset from the bandicoot, Isoodon macrourus, providing information on the transcriptional profile of the bandicoot thymus and the opportunity for a genome wide comparison between the bandicoot and opossum, two distantly related marsupial species.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Australia 1 5%
Chile 1 5%
New Zealand 1 5%
South Africa 1 5%
Unknown 15 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 33%
Student > Master 4 19%
Other 2 10%
Student > Bachelor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 48%
Biochemistry, Genetics and Molecular Biology 4 19%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 March 2017.
All research outputs
#3,969,781
of 22,739,983 outputs
Outputs from BMC Genomics
#1,631
of 10,630 outputs
Outputs of similar age
#19,242
of 162,179 outputs
Outputs of similar age from BMC Genomics
#14
of 82 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,630 research outputs from this source. They receive a mean Attention Score of 4.7. 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 162,179 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 88% of its contemporaries.
We're also able to compare this research output to 82 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.