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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Plant Bioinformatics
|
|---|---|
| Chapter number | 4 |
| Book title |
Plant Bioinformatics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3167-5_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3166-8, 978-1-4939-3167-5
|
| Authors |
Jaiswal, Pankaj, Usadel, Björn, Pankaj Jaiswal, Björn Usadel |
| Editors |
David Edwards |
| Abstract |
Pathway databases provide information about the role of chemicals, genes, and gene products in the form of protein or RNA, their interactions leading to the formulation of metabolic, transport, regulatory, and signaling reactions. The reactions can then be tethered by the principle of inputs and outputs of one or more reaction to create pathways. This chapter provides a list of various online databases that carry information about plant pathways and provides a brief overview of how to use the pathway databases such as WikiPathways Plants Portal, MapMan and the cereal crop pathway databases like RiceCyc and MaizeCyc, that were developed using the Pathway Tools software. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 36% |
| Researcher | 3 | 21% |
| Student > Doctoral Student | 2 | 14% |
| Professor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 50% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Environmental Science | 1 | 7% |
| Computer Science | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 May 2016.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from Methods in molecular biology
#7,922
of 13,130 outputs
Outputs of similar age
#284,542
of 393,689 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,471 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,130 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 393,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.