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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CeL-ID: cell line identification using RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, February 2019
|
| DOI | 10.1186/s12864-018-5371-9 |
| Pubmed ID | |
| Authors |
Tabrez A. Mohammad, Yun S. Tsai, Safwa Ameer, Hung-I Harry Chen, Yu-Chiao Chiu, Yidong Chen |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 6 | 18% |
| Professor > Associate Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 3 | 9% |
| Computer Science | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 13 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 February 2019.
All research outputs
#18,005,961
of 23,128,387 outputs
Outputs from BMC Genomics
#7,606
of 10,708 outputs
Outputs of similar age
#304,635
of 438,009 outputs
Outputs of similar age from BMC Genomics
#152
of 228 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 438,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.