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Mendeley readers
Attention Score in Context
| Title |
Getting Started in Gene Expression Microarray Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, October 2009
|
| DOI | 10.1371/journal.pcbi.1000543 |
| Pubmed ID | |
| Authors |
Donna K. Slonim, Itai Yanai |
Mendeley readers
The data shown below were compiled from readership statistics for 622 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 3% |
| United Kingdom | 11 | 2% |
| India | 4 | <1% |
| Italy | 4 | <1% |
| Canada | 3 | <1% |
| Sweden | 3 | <1% |
| Netherlands | 2 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Other | 22 | 4% |
| Unknown | 548 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 194 | 31% |
| Researcher | 124 | 20% |
| Student > Master | 72 | 12% |
| Student > Bachelor | 54 | 9% |
| Student > Doctoral Student | 27 | 4% |
| Other | 90 | 14% |
| Unknown | 61 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 291 | 47% |
| Biochemistry, Genetics and Molecular Biology | 89 | 14% |
| Medicine and Dentistry | 47 | 8% |
| Computer Science | 41 | 7% |
| Engineering | 18 | 3% |
| Other | 67 | 11% |
| Unknown | 69 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 15 September 2020.
All research outputs
#1,693,647
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#1,440
of 9,035 outputs
Outputs of similar age
#5,159
of 113,015 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 57 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 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 done well, scoring higher than 84% 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 113,015 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 57 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 91% of its contemporaries.