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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data
|
|---|---|
| Published in |
BMC Medical Genetics, July 2014
|
| DOI | 10.1186/1471-2350-15-80 |
| Pubmed ID | |
| Authors |
Zuozhang Yang, Yongbin Chen, Yu Fu, Yihao Yang, Ya Zhang, Yanjin Chen, Dongqi Li |
| Abstract |
To uncover the genes involved in the development of osteosarcoma (OS), we performed a meta-analysis of OS microarray data to identify differentially expressed genes (DEGs) and biological functions associated with gene expression changes between OS and normal control (NC) tissues. |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 2% |
| Malaysia | 1 | 2% |
| Canada | 1 | 2% |
| Denmark | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 42 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Master | 10 | 21% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 5 | 11% |
| Professor | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 30% |
| Medicine and Dentistry | 12 | 26% |
| Agricultural and Biological Sciences | 9 | 19% |
| Computer Science | 3 | 6% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 July 2014.
All research outputs
#14,782,376
of 22,758,248 outputs
Outputs from BMC Medical Genetics
#474
of 1,029 outputs
Outputs of similar age
#125,472
of 226,895 outputs
Outputs of similar age from BMC Medical Genetics
#10
of 19 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,029 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 226,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.