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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ARACNe-based inference, using curated microarray data, of Arabidopsis thaliana root transcriptional regulatory networks
|
|---|---|
| Published in |
BMC Plant Biology, April 2014
|
| DOI | 10.1186/1471-2229-14-97 |
| Pubmed ID | |
| Authors |
Ricardo A Chávez Montes, Gerardo Coello, Karla L González-Aguilera, Nayelli Marsch-Martínez, Stefan de Folter, Elena R Alvarez-Buylla |
| Abstract |
Uncovering the complex transcriptional regulatory networks (TRNs) that underlie plant and animal development remains a challenge. However, a vast amount of data from public microarray experiments is available, which can be subject to inference algorithms in order to recover reliable TRN architectures. |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 3% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Unknown | 60 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Master | 13 | 20% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 48% |
| Biochemistry, Genetics and Molecular Biology | 17 | 27% |
| Mathematics | 1 | 2% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 January 2015.
All research outputs
#3,512,993
of 24,140,950 outputs
Outputs from BMC Plant Biology
#216
of 3,398 outputs
Outputs of similar age
#31,466
of 207,532 outputs
Outputs of similar age from BMC Plant Biology
#5
of 41 outputs
Altmetric has tracked 24,140,950 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,398 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 93% 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 207,532 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 84% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.