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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A protocol to evaluate RNA sequencing normalization methods
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3247-x |
| Pubmed ID | |
| Authors |
Zachary B. Abrams, Travis S. Johnson, Kun Huang, Philip R. O. Payne, Kevin Coombes |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 3 | 38% |
| Japan | 1 | 13% |
| Germany | 1 | 13% |
| France | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 226 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 23% |
| Researcher | 29 | 13% |
| Student > Master | 28 | 12% |
| Student > Bachelor | 27 | 12% |
| Student > Doctoral Student | 12 | 5% |
| Other | 24 | 11% |
| Unknown | 53 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 30% |
| Agricultural and Biological Sciences | 38 | 17% |
| Immunology and Microbiology | 13 | 6% |
| Computer Science | 9 | 4% |
| Medicine and Dentistry | 9 | 4% |
| Other | 30 | 13% |
| Unknown | 59 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 December 2019.
All research outputs
#7,755,290
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#3,083
of 7,400 outputs
Outputs of similar age
#165,726
of 460,800 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 216 outputs
Altmetric has tracked 23,577,654 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 7,400 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 50% 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 460,800 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 56% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.