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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global regulatory architecture of human, mouse and rat tissue transcriptomes
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-716 |
| Pubmed ID | |
| Authors |
Ajay Prasad, Suchitra Suresh Kumar, Christophe Dessimoz, Stefan Bleuler, Oliver Laule, Tomas Hruz, Wilhelm Gruissem, Philip Zimmermann |
| Abstract |
Predicting molecular responses in human by extrapolating results from model organisms requires a precise understanding of the architecture and regulation of biological mechanisms across species. |
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 % |
|---|---|---|
| Switzerland | 2 | 22% |
| Australia | 1 | 11% |
| United Kingdom | 1 | 11% |
| United States | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 11 | 22% |
| Other | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Neuroscience | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 January 2014.
All research outputs
#5,361,134
of 25,286,324 outputs
Outputs from BMC Genomics
#2,119
of 11,211 outputs
Outputs of similar age
#46,277
of 219,694 outputs
Outputs of similar age from BMC Genomics
#16
of 146 outputs
Altmetric has tracked 25,286,324 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 219,694 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 78% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.