| Title |
WikiPathways for plants: a community pathway curation portal and a case study in rice and arabidopsis seed development networks
|
|---|---|
| Published in |
Rice, May 2013
|
| DOI | 10.1186/1939-8433-6-14 |
| Pubmed ID | |
| Authors |
Mamatha Hanumappa, Justin Preece, Justin Elser, Denise Nemeth, Gina Bono, Kenny Wu, Pankaj Jaiswal |
| Abstract |
Next-generation sequencing and 'omics' platforms are used extensively in plant biology research to unravel new genomes and study their interactions with abiotic and biotic agents in the growth environment. Despite the availability of a large and growing number of genomic data sets, there are only limited resources providing highly-curated and up-to-date metabolic and regulatory networks for plant pathways. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Japan | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Turkey | 1 | 3% |
| South Africa | 1 | 3% |
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 27 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 34% |
| Researcher | 5 | 16% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 56% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 2 | 6% |
| Computer Science | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 03 November 2021.
All research outputs
#2,095,960
of 24,143,470 outputs
Outputs from Rice
#19
of 404 outputs
Outputs of similar age
#17,787
of 198,376 outputs
Outputs of similar age from Rice
#2
of 5 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 404 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 198,376 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.