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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Normalization of gene expression data revisited: the three viewpoints of the transcriptome in human skeletal muscle undergoing load-induced hypertrophy and why they matter
|
|---|---|
| Published in |
BMC Bioinformatics, June 2022
|
| DOI | 10.1186/s12859-022-04791-y |
| Pubmed ID | |
| Authors |
Yusuf Khan, Daniel Hammarström, Stian Ellefsen, Rafi Ahmad |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 3 | 33% |
| Denmark | 1 | 11% |
| United States | 1 | 11% |
| India | 1 | 11% |
| South Africa | 1 | 11% |
| Sweden | 1 | 11% |
| United Kingdom | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Lecturer | 1 | 10% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Decision Sciences | 1 | 10% |
| Computer Science | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
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 26 June 2022.
All research outputs
#5,836,640
of 22,753,345 outputs
Outputs from BMC Bioinformatics
#2,157
of 7,269 outputs
Outputs of similar age
#111,788
of 439,933 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 156 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,269 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 70% 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 439,933 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 74% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.