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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Primer on the Gene Ontology
|
---|---|
Chapter number | 3 |
Book title |
The Gene Ontology Handbook
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-3743-1_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
Authors |
Pascale Gaudet, Nives Škunca, James C. Hu, Christophe Dessimoz, Gaudet, Pascale, Škunca, Nives, Hu, James C., Dessimoz, Christophe |
Editors |
Christophe Dessimoz, Nives Škunca |
Abstract |
The Gene Ontology (GO) project is the largest resource for cataloguing gene function. The combination of solid conceptual underpinnings and a practical set of features have made the GO a widely adopted resource in the research community and an essential resource for data analysis. In this chapter, we provide a concise primer for all users of the GO. We briefly introduce the structure of the ontology and explain how to interpret annotations associated with the GO. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 17% |
United States | 2 | 17% |
Norway | 1 | 8% |
United Kingdom | 1 | 8% |
Germany | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Scientists | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
United Kingdom | 1 | 1% |
Mexico | 1 | 1% |
Spain | 1 | 1% |
Unknown | 73 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 17% |
Student > Ph. D. Student | 11 | 14% |
Student > Master | 8 | 10% |
Student > Bachelor | 7 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 13 | 17% |
Unknown | 22 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 21% |
Biochemistry, Genetics and Molecular Biology | 15 | 19% |
Computer Science | 12 | 15% |
Unspecified | 2 | 3% |
Neuroscience | 2 | 3% |
Other | 7 | 9% |
Unknown | 24 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 14 October 2020.
All research outputs
#1,725,113
of 23,577,654 outputs
Outputs from Methods in molecular biology
#224
of 13,410 outputs
Outputs of similar age
#37,266
of 423,887 outputs
Outputs of similar age from Methods in molecular biology
#34
of 1,073 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 423,887 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 91% of its contemporaries.
We're also able to compare this research output to 1,073 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.