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Attention Score in Context
Title |
An RNA-Seq based gene expression atlas of the common bean
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Published in |
BMC Genomics, October 2014
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DOI | 10.1186/1471-2164-15-866 |
Pubmed ID | |
Authors |
Jamie A O’Rourke, Luis P Iniguez, Fengli Fu, Bruna Bucciarelli, Susan S Miller, Scott A Jackson, Philip E McClean, Jun Li, Xinbin Dai, Patrick X Zhao, Georgina Hernandez, Carroll P Vance |
Abstract |
Common bean (Phaseolus vulgaris) is grown throughout the world and comprises roughly 50% of the grain legumes consumed worldwide. Despite this, genetic resources for common beans have been lacking. Next generation sequencing, has facilitated our investigation of the gene expression profiles associated with biologically important traits in common bean. An increased understanding of gene expression in common bean will improve our understanding of gene expression patterns in other legume species. |
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 % |
---|---|---|
France | 1 | 25% |
India | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 2 | 1% |
Spain | 2 | 1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Brazil | 1 | <1% |
Italy | 1 | <1% |
Unknown | 176 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 21% |
Student > Master | 34 | 18% |
Researcher | 25 | 14% |
Student > Bachelor | 12 | 7% |
Student > Postgraduate | 10 | 5% |
Other | 28 | 15% |
Unknown | 36 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 102 | 55% |
Biochemistry, Genetics and Molecular Biology | 31 | 17% |
Environmental Science | 3 | 2% |
Engineering | 2 | 1% |
Business, Management and Accounting | 1 | <1% |
Other | 6 | 3% |
Unknown | 39 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2015.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from BMC Genomics
#5,157
of 11,244 outputs
Outputs of similar age
#130,744
of 267,328 outputs
Outputs of similar age from BMC Genomics
#119
of 299 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 52% 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 267,328 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 50% of its contemporaries.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.