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Mendeley readers
Attention Score in Context
| Title |
Construction, Visualisation, and Clustering of Transcription Networks from Microarray Expression Data
|
|---|---|
| Published in |
PLoS Computational Biology, October 2007
|
| DOI | 10.1371/journal.pcbi.0030206 |
| Pubmed ID | |
| Authors |
Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| United Kingdom | 8 | 3% |
| Germany | 4 | 1% |
| France | 3 | 1% |
| Japan | 3 | 1% |
| Brazil | 3 | 1% |
| Sweden | 2 | <1% |
| Chile | 1 | <1% |
| Norway | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 239 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 31% |
| Student > Ph. D. Student | 79 | 28% |
| Student > Master | 19 | 7% |
| Professor > Associate Professor | 18 | 6% |
| Professor | 14 | 5% |
| Other | 44 | 16% |
| Unknown | 21 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 138 | 49% |
| Biochemistry, Genetics and Molecular Biology | 36 | 13% |
| Computer Science | 31 | 11% |
| Medicine and Dentistry | 15 | 5% |
| Mathematics | 8 | 3% |
| Other | 29 | 10% |
| Unknown | 24 | 9% |
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 16 November 2010.
All research outputs
#5,384,200
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,102
of 8,964 outputs
Outputs of similar age
#16,117
of 89,160 outputs
Outputs of similar age from PLoS Computational Biology
#14
of 37 outputs
Altmetric has tracked 25,394,764 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 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 54% 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 89,160 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 81% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.