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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ALEXA: a microarray design platform for alternative expression analysis
|
|---|---|
| Published in |
Nature Methods, February 2008
|
| DOI | 10.1038/nmeth0208-118 |
| Pubmed ID | |
| Authors |
Malachi Griffith, Michelle J Tang, Obi L Griffith, Ryan D Morin, Susanna Y Chan, Jennifer K Asano, Thomas Zeng, Stephane Flibotte, Adrian Ally, Agnes Baross, Martin Hirst, Steven J M Jones, Gregg B Morin, Isabella T Tai, Marco A Marra |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| France | 2 | 6% |
| Canada | 1 | 3% |
| Unknown | 30 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 42% |
| Researcher | 9 | 25% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 44% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2015.
All research outputs
#7,412,654
of 22,662,201 outputs
Outputs from Nature Methods
#3,596
of 4,889 outputs
Outputs of similar age
#42,808
of 156,498 outputs
Outputs of similar age from Nature Methods
#33
of 39 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 156,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.