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Mendeley readers
Attention Score in Context
| Title |
MRCNN: a deep learning model for regression of genome-wide DNA methylation
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5488-5 |
| Pubmed ID | |
| Authors |
Qi Tian, Jianxiao Zou, Jianxiong Tang, Yuan Fang, Zhongli Yu, Shicai Fan |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Student > Master | 8 | 13% |
| Researcher | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Professor | 4 | 7% |
| Other | 5 | 8% |
| Unknown | 21 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 21% |
| Biochemistry, Genetics and Molecular Biology | 11 | 18% |
| Agricultural and Biological Sciences | 5 | 8% |
| Neuroscience | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 21 | 34% |
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 24 October 2023.
All research outputs
#8,257,025
of 24,727,020 outputs
Outputs from BMC Genomics
#3,839
of 11,056 outputs
Outputs of similar age
#144,542
of 357,130 outputs
Outputs of similar age from BMC Genomics
#85
of 204 outputs
Altmetric has tracked 24,727,020 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,056 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 58% 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 357,130 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 53% of its contemporaries.
We're also able to compare this research output to 204 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.