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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PlantTFcat: an online plant transcription factor and transcriptional regulator categorization and analysis tool
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-321 |
| Pubmed ID | |
| Authors |
Xinbin Dai, Senjuti Sinharoy, Michael Udvardi, Patrick Xuechun Zhao |
| Abstract |
Plants regulate intrinsic gene expression through transcription factors (TFs), transcriptional regulators (TRs), chromatin regulators (CRs), and the basal transcription machinery. An understanding of plant gene regulatory mechanisms at a systems level requires the identification of these regulatory elements on a genomic scale. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 26% |
| Researcher | 19 | 20% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Professor > Associate Professor | 5 | 5% |
| Other | 16 | 17% |
| Unknown | 15 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 46% |
| Biochemistry, Genetics and Molecular Biology | 20 | 22% |
| Environmental Science | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Unspecified | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 November 2013.
All research outputs
#14,765,501
of 22,729,647 outputs
Outputs from BMC Bioinformatics
#5,038
of 7,266 outputs
Outputs of similar age
#125,559
of 212,425 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 115 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 212,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.