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Mendeley readers
Attention Score in Context
Title |
Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics
|
---|---|
Published in |
BMC Genomics, January 2012
|
DOI | 10.1186/1471-2164-13-s1-s15 |
Pubmed ID | |
Authors |
Trupti Joshi, Kapil Patil, Michael R Fitzpatrick, Levi D Franklin, Qiuming Yao, Jeffrey R Cook, Zheng Wang, Marc Libault, Laurent Brechenmacher, Babu Valliyodan, Xiaolei Wu, Jianlin Cheng, Gary Stacey, Henry T Nguyen, Dong Xu |
Abstract |
Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms (SNPs). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 1% |
Netherlands | 1 | 1% |
Brazil | 1 | 1% |
Canada | 1 | 1% |
Romania | 1 | 1% |
Unknown | 67 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 28% |
Student > Ph. D. Student | 13 | 18% |
Student > Master | 11 | 15% |
Professor | 7 | 10% |
Professor > Associate Professor | 4 | 6% |
Other | 8 | 11% |
Unknown | 9 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 51% |
Biochemistry, Genetics and Molecular Biology | 10 | 14% |
Computer Science | 4 | 6% |
Business, Management and Accounting | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Other | 5 | 7% |
Unknown | 13 | 18% |
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 05 August 2012.
All research outputs
#15,528,867
of 23,079,238 outputs
Outputs from BMC Genomics
#6,724
of 10,704 outputs
Outputs of similar age
#164,619
of 247,392 outputs
Outputs of similar age from BMC Genomics
#163
of 278 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,704 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 247,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 278 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.