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X Demographics
Mendeley readers
Attention Score in Context
| Title |
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, May 2021
|
| DOI | 10.3389/fcell.2021.664669 |
| Pubmed ID | |
| Authors |
Rao Zeng, Song Cheng, Minghong Liao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 13% |
| Canada | 2 | 5% |
| Belgium | 2 | 5% |
| Cameroon | 1 | 3% |
| Mexico | 1 | 3% |
| South Africa | 1 | 3% |
| United Kingdom | 1 | 3% |
| Brazil | 1 | 3% |
| Australia | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 22 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 98% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 29% |
| Student > Bachelor | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 14% |
| Earth and Planetary Sciences | 1 | 14% |
| Unknown | 5 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 May 2021.
All research outputs
#2,170,348
of 24,452,594 outputs
Outputs from Frontiers in Cell and Developmental Biology
#365
of 9,967 outputs
Outputs of similar age
#54,855
of 432,554 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#27
of 893 outputs
Altmetric has tracked 24,452,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,967 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 432,554 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 87% of its contemporaries.
We're also able to compare this research output to 893 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.