| Title |
Stability of methods for differential expression analysis of RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, January 2019
|
| DOI | 10.1186/s12864-018-5390-6 |
| Pubmed ID | |
| Authors |
Bingqing Lin, Zhen Pang |
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 % |
|---|---|---|
| France | 1 | 14% |
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 9 | 19% |
| Student > Master | 8 | 17% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 33% |
| Agricultural and Biological Sciences | 10 | 21% |
| Computer Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 8 | 17% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 February 2019.
All research outputs
#7,753,480
of 23,577,761 outputs
Outputs from BMC Genomics
#3,709
of 10,800 outputs
Outputs of similar age
#158,977
of 439,875 outputs
Outputs of similar age from BMC Genomics
#86
of 245 outputs
Altmetric has tracked 23,577,761 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 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 439,875 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 55% of its contemporaries.
We're also able to compare this research output to 245 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 63% of its contemporaries.