You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 17% |
United Kingdom | 1 | 17% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
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
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.