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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A weighted average difference method for detecting differentially expressed genes from microarray data
|
|---|---|
| Published in |
Algorithms for Molecular Biology, June 2008
|
| DOI | 10.1186/1748-7188-3-8 |
| Pubmed ID | |
| Authors |
Koji Kadota, Yuji Nakai, Kentaro Shimizu |
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 % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Japan | 2 | 2% |
| United States | 2 | 2% |
| Denmark | 1 | <1% |
| Italy | 1 | <1% |
| Greece | 1 | <1% |
| India | 1 | <1% |
| Unknown | 96 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Researcher | 22 | 21% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 7% |
| Professor | 7 | 7% |
| Other | 21 | 20% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 45% |
| Biochemistry, Genetics and Molecular Biology | 16 | 15% |
| Medicine and Dentistry | 11 | 10% |
| Computer Science | 7 | 7% |
| Engineering | 5 | 5% |
| Other | 9 | 8% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 February 2019.
All research outputs
#15,559,348
of 23,125,690 outputs
Outputs from Algorithms for Molecular Biology
#148
of 264 outputs
Outputs of similar age
#70,521
of 82,881 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 2 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 34th percentile – i.e., 34% 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 82,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them