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Structure and evolution of the mouse pregnancy-specific glycoprotein (Psg) gene locus

Overview of attention for article published in BMC Genomics, January 2005
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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2 patents
wikipedia
2 Wikipedia pages

Citations

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62 Dimensions

Readers on

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45 Mendeley
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Title
Structure and evolution of the mouse pregnancy-specific glycoprotein (Psg) gene locus
Published in
BMC Genomics, January 2005
DOI 10.1186/1471-2164-6-4
Pubmed ID
Authors

Andrew S McLellan, Beate Fischer, Gabriela Dveksler, Tomomi Hori, Freda Wynne, Melanie Ball, Katsuzumi Okumura, Tom Moore, Wolfgang Zimmermann

Abstract

The pregnancy-specific glycoprotein (Psg) genes encode proteins of unknown function, and are members of the carcinoembryonic antigen (Cea) gene family, which is a member of the immunoglobulin gene (Ig) superfamily. In rodents and primates, but not in artiodactyls (even-toed ungulates / hoofed mammals), there have been independent expansions of the Psg gene family, with all members expressed exclusively in placental trophoblast cells. For the mouse Psg genes, we sought to determine the genomic organisation of the locus, the expression profiles of the various family members, and the evolution of exon structure, to attempt to reconstruct the evolutionary history of this locus, and to determine whether expansion of the gene family has been driven by selection for increased gene dosage, or diversification of function.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Ireland 1 2%
United Kingdom 1 2%
Japan 1 2%
United States 1 2%
Unknown 40 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 7 16%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Professor 4 9%
Other 12 27%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Biochemistry, Genetics and Molecular Biology 10 22%
Immunology and Microbiology 7 16%
Medicine and Dentistry 3 7%
Computer Science 1 2%
Other 2 4%
Unknown 6 13%
Attention Score in Context

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 20 October 2022.
All research outputs
#4,899,335
of 23,555,482 outputs
Outputs from BMC Genomics
#2,054
of 10,790 outputs
Outputs of similar age
#17,521
of 143,123 outputs
Outputs of similar age from BMC Genomics
#2
of 16 outputs
Altmetric has tracked 23,555,482 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,790 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 143,123 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 81% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.