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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiple model species selection for transcriptomics analysis of non-model organisms
|
|---|---|
| Published in |
BMC Bioinformatics, August 2018
|
| DOI | 10.1186/s12859-018-2278-z |
| Pubmed ID | |
| Authors |
Tun-Wen Pai, Kuan-Hung Li, Cing-Han Yang, Chin-Hwa Hu, Han-Jia Lin, Wen-Der Wang, Yet-Ran Chen |
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 % |
|---|---|---|
| Romania | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Bachelor | 5 | 22% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 35% |
| Agricultural and Biological Sciences | 7 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
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 23 August 2018.
All research outputs
#15,543,612
of 23,100,534 outputs
Outputs from BMC Bioinformatics
#5,415
of 7,329 outputs
Outputs of similar age
#209,919
of 330,844 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 91 outputs
Altmetric has tracked 23,100,534 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 7,329 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 330,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.