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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simple regression for correcting ΔCt bias in RT-qPCR low-density array data normalization
|
|---|---|
| Published in |
BMC Genomics, February 2015
|
| DOI | 10.1186/s12864-015-1274-1 |
| Pubmed ID | |
| Authors |
Xiangqin Cui, Shaohua Yu, Ashutosh Tamhane, Zenoria L Causey, Adam Steg, Maria I Danila, Richard J Reynolds, Jinyi Wang, Keith C Wanzeck, Qi Tang, Stephanie S Ledbetter, David T Redden, Martin R Johnson, S Louis Bridges |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | 4% |
| Spain | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 26% |
| Student > Ph. D. Student | 6 | 13% |
| Professor | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 9 | 20% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 33% |
| Medicine and Dentistry | 8 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 9 | 20% |
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 27 September 2015.
All research outputs
#14,723,813
of 25,837,817 outputs
Outputs from BMC Genomics
#4,821
of 11,320 outputs
Outputs of similar age
#182,686
of 372,123 outputs
Outputs of similar age from BMC Genomics
#107
of 253 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 372,123 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 50% of its contemporaries.
We're also able to compare this research output to 253 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 56% of its contemporaries.