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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using an ensemble of statistical metrics to quantify large sets of plant transcription factor binding sites
|
|---|---|
| Published in |
Plant Methods, April 2013
|
| DOI | 10.1186/1746-4811-9-12 |
| Pubmed ID | |
| Authors |
Parsa Hosseini, Ivan Ovcharenko, Benjamin F Matthews |
| Abstract |
From initial seed germination through reproduction, plants continuously reprogram their transcriptional repertoire to facilitate growth and development. This dynamic is mediated by a diverse but inextricably-linked catalog of regulatory proteins called transcription factors (TFs). Statistically quantifying TF binding site (TFBS) abundance in promoters of differentially expressed genes can be used to identify binding site patterns in promoters that are closely related to stress-response. Output from today's transcriptomic assays necessitates statistically-oriented software to handle large promoter-sequence sets in a computationally tractable fashion. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 22% |
| United Kingdom | 2 | 22% |
| Brazil | 1 | 11% |
| China | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| France | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Mexico | 1 | 2% |
| Argentina | 1 | 2% |
| China | 1 | 2% |
| Unknown | 37 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 32% |
| Researcher | 12 | 27% |
| Student > Doctoral Student | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 75% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 3 | 7% |
| Engineering | 2 | 5% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 April 2013.
All research outputs
#2,358,939
of 22,705,019 outputs
Outputs from Plant Methods
#113
of 1,075 outputs
Outputs of similar age
#20,895
of 199,475 outputs
Outputs of similar age from Plant Methods
#1
of 7 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 89% 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 199,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them