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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2809-2 |
| Pubmed ID | |
| Authors |
Jihoon Jo, Sunkyung Choi, Jooseong Oh, Sung-Gwon Lee, Song Yi Choi, Kee K. Kim, Chungoo Park |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 4 | 24% |
| United States | 3 | 18% |
| Finland | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 17% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Bachelor | 12 | 12% |
| Student > Master | 11 | 11% |
| Student > Doctoral Student | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 35 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 38% |
| Agricultural and Biological Sciences | 11 | 11% |
| Medicine and Dentistry | 4 | 4% |
| Computer Science | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 36 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 August 2019.
All research outputs
#3,258,446
of 23,149,216 outputs
Outputs from BMC Bioinformatics
#1,188
of 7,339 outputs
Outputs of similar age
#70,018
of 350,416 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 205 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 83% 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 350,416 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 79% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.