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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptional profiling of the Arabidopsis abscission mutant hae hsl2by RNA-Seq
|
|---|---|
| Published in |
BMC Genomics, January 2013
|
| DOI | 10.1186/1471-2164-14-37 |
| Pubmed ID | |
| Authors |
Chad E Niederhuth, O Rahul Patharkar, John C Walker |
| Abstract |
Abscission is a mechanism by which plants shed entire organs in response to both developmental and environmental signals. Arabidopsis thaliana, in which only the floral organs abscise, has been used extensively to study the genetic, molecular and cellular processes controlling abscission. Abscission in Arabidopsis requires two genes that encode functionally redundant receptor-like protein kinases, HAESA (HAE) and HAESA-LIKE 2 (HSL2). Double hae hsl2 mutant plants fail to abscise their floral organs at any stage of floral development and maturation. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Taiwan | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 23% |
| Researcher | 19 | 20% |
| Student > Master | 13 | 13% |
| Professor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 60% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Medicine and Dentistry | 3 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 12 | 12% |
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 17 January 2013.
All research outputs
#20,178,948
of 22,693,205 outputs
Outputs from BMC Genomics
#9,242
of 10,616 outputs
Outputs of similar age
#251,886
of 284,627 outputs
Outputs of similar age from BMC Genomics
#320
of 364 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 284,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 364 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.