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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data
|
|---|---|
| Published in |
Genome Biology, October 2018
|
| DOI | 10.1186/s13059-018-1536-8 |
| Pubmed ID | |
| Authors |
Basel Abu-Jamous, Steven Kelly |
X Demographics
The data shown below were collected from the profiles of 189 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 46 | 24% |
| United Kingdom | 18 | 10% |
| Germany | 12 | 6% |
| France | 9 | 5% |
| Switzerland | 5 | 3% |
| Norway | 5 | 3% |
| Australia | 5 | 3% |
| Spain | 3 | 2% |
| Canada | 3 | 2% |
| Other | 20 | 11% |
| Unknown | 63 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 115 | 61% |
| Members of the public | 67 | 35% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 288 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 76 | 26% |
| Student > Ph. D. Student | 57 | 20% |
| Student > Bachelor | 26 | 9% |
| Student > Master | 22 | 8% |
| Other | 12 | 4% |
| Other | 39 | 14% |
| Unknown | 56 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 94 | 33% |
| Biochemistry, Genetics and Molecular Biology | 84 | 29% |
| Computer Science | 10 | 3% |
| Immunology and Microbiology | 5 | 2% |
| Mathematics | 5 | 2% |
| Other | 16 | 6% |
| Unknown | 74 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 109. 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 31 October 2022.
All research outputs
#392,132
of 25,728,350 outputs
Outputs from Genome Biology
#192
of 4,508 outputs
Outputs of similar age
#8,342
of 363,008 outputs
Outputs of similar age from Genome Biology
#6
of 88 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 95% 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 363,008 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 97% of its contemporaries.
We're also able to compare this research output to 88 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 93% of its contemporaries.