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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Complementary Sources of Protein Functional Information: The Far Side of GO
|
|---|---|
| Chapter number | 19 |
| Book title |
The Gene Ontology Handbook
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-3743-1_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
| Authors |
Nicholas Furnham, Furnham, N |
| Editors |
Christophe Dessimoz, Nives Škunca |
| Abstract |
The GO captures many aspects of functional annotations, but there are other alternative complementary sources of protein function information. For example, enzyme functional annotations are described in a range of resources from the Enzyme Commission (E.C.) hierarchical classification to the Kyoto Encyclopedia of Genes and Genomes (KEGG) to the Catalytic Site Atlas amongst many others. This chapter describes some of the main resources available and how they can be used in conjunction with GO. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 29% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Professor > Associate Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 22% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Mathematics | 1 | 11% |
| Unknown | 5 | 56% |
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 29 December 2017.
All research outputs
#5,862,589
of 23,306,612 outputs
Outputs from Methods in molecular biology
#1,639
of 13,326 outputs
Outputs of similar age
#107,125
of 422,802 outputs
Outputs of similar age from Methods in molecular biology
#182
of 1,076 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,326 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 422,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1,076 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.