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Personal receptor repertoires: olfaction as a model

Overview of attention for article published in BMC Genomics, August 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
3 blogs
twitter
6 X users

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
114 Mendeley
citeulike
3 CiteULike
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Title
Personal receptor repertoires: olfaction as a model
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-414
Pubmed ID
Authors

Tsviya Olender, Sebastian M Waszak, Maya Viavant, Miriam Khen, Edna Ben-Asher, Alejandro Reyes, Noam Nativ, Charles J Wysocki, Dongliang Ge, Doron Lancet

Abstract

Information on nucleotide diversity along completely sequenced human genomes has increased tremendously over the last few years. This makes it possible to reassess the diversity status of distinct receptor proteins in different human individuals. To this end, we focused on the complete inventory of human olfactory receptor coding regions as a model for personal receptor repertoires.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
France 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 25%
Student > Ph. D. Student 20 18%
Student > Master 17 15%
Student > Bachelor 13 11%
Student > Doctoral Student 9 8%
Other 13 11%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 47%
Biochemistry, Genetics and Molecular Biology 14 12%
Neuroscience 11 10%
Medicine and Dentistry 5 4%
Psychology 3 3%
Other 9 8%
Unknown 18 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 16 August 2021.
All research outputs
#1,351,142
of 25,373,627 outputs
Outputs from BMC Genomics
#235
of 11,244 outputs
Outputs of similar age
#7,888
of 186,126 outputs
Outputs of similar age from BMC Genomics
#6
of 162 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 97% 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 186,126 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.