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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical methods on detecting differentially expressed genes for RNA-seq data
|
|---|---|
| Published in |
BMC Systems Biology, December 2011
|
| DOI | 10.1186/1752-0509-5-s3-s1 |
| Pubmed ID | |
| Authors |
Zhongxue Chen, Jianzhong Liu, Hon Keung Tony Ng, Saralees Nadarajah, Howard L Kaufman, Jack Y Yang, Youping Deng |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| Slovenia | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 122 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 28% |
| Student > Ph. D. Student | 35 | 26% |
| Student > Master | 16 | 12% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 53% |
| Biochemistry, Genetics and Molecular Biology | 19 | 14% |
| Computer Science | 7 | 5% |
| Medicine and Dentistry | 5 | 4% |
| Immunology and Microbiology | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 15 | 11% |
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 16 May 2020.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from BMC Systems Biology
#239
of 1,132 outputs
Outputs of similar age
#60,142
of 248,935 outputs
Outputs of similar age from BMC Systems Biology
#12
of 34 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 248,935 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 73% of its contemporaries.
We're also able to compare this research output to 34 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 64% of its contemporaries.