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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, May 2017
|
| DOI | 10.1186/s12864-017-3809-0 |
| Pubmed ID | |
| Authors |
Sora Yoon, Dougu Nam |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Spain | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Netherlands | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 116 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 27% |
| Researcher | 23 | 19% |
| Student > Master | 20 | 17% |
| Student > Bachelor | 8 | 7% |
| Other | 4 | 3% |
| Other | 8 | 7% |
| Unknown | 24 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 32% |
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Computer Science | 9 | 8% |
| Neuroscience | 5 | 4% |
| Environmental Science | 5 | 4% |
| Other | 10 | 8% |
| Unknown | 28 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 June 2017.
All research outputs
#3,343,820
of 26,017,215 outputs
Outputs from BMC Genomics
#1,097
of 11,367 outputs
Outputs of similar age
#57,328
of 329,568 outputs
Outputs of similar age from BMC Genomics
#27
of 217 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 90% 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 329,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.