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Mendeley readers
Attention Score in Context
| Title |
Improving gene set analysis of microarray data by SAM-GS
|
|---|---|
| Published in |
BMC Bioinformatics, July 2007
|
| DOI | 10.1186/1471-2105-8-242 |
| Pubmed ID | |
| Authors |
Irina Dinu, John D Potter, Thomas Mueller, Qi Liu, Adeniyi J Adewale, Gian S Jhangri, Gunilla Einecke, Konrad S Famulski, Philip Halloran, Yutaka Yasui |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 5% |
| United Kingdom | 3 | 2% |
| Russia | 2 | 1% |
| Canada | 2 | 1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Czechia | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 168 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 31% |
| Student > Ph. D. Student | 40 | 21% |
| Student > Master | 24 | 12% |
| Professor > Associate Professor | 19 | 10% |
| Other | 11 | 6% |
| Other | 25 | 13% |
| Unknown | 15 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 43% |
| Computer Science | 23 | 12% |
| Biochemistry, Genetics and Molecular Biology | 21 | 11% |
| Mathematics | 15 | 8% |
| Medicine and Dentistry | 14 | 7% |
| Other | 17 | 9% |
| Unknown | 20 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 June 2019.
All research outputs
#4,723,513
of 22,903,988 outputs
Outputs from BMC Bioinformatics
#1,815
of 7,302 outputs
Outputs of similar age
#13,109
of 68,563 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 47 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 68,563 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 47 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 68% of its contemporaries.