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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TTCA: an R package for the identification of differentially expressed genes in time course microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2017
|
| DOI | 10.1186/s12859-016-1440-8 |
| Pubmed ID | |
| Authors |
Marco Albrecht, Damian Stichel, Benedikt Müller, Ruth Merkle, Carsten Sticht, Norbert Gretz, Ursula Klingmüller, Kai Breuhahn, Franziska Matthäus |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 1% |
| Germany | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 68 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 24% |
| Researcher | 14 | 20% |
| Student > Master | 14 | 20% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 39% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Computer Science | 7 | 10% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 9 | 13% |
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 07 January 2021.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,982
of 7,793 outputs
Outputs of similar age
#139,200
of 430,614 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 139 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 59% 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 430,614 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 66% of its contemporaries.
We're also able to compare this research output to 139 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 61% of its contemporaries.