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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Positive-unlabelled learning of glycosylation sites in the human proteome
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2700-1 |
| Pubmed ID | |
| Authors |
Fuyi Li, Yang Zhang, Anthony W. Purcell, Geoffrey I. Webb, Kuo-Chen Chou, Trevor Lithgow, Chen Li, Jiangning Song |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 28% |
| United Kingdom | 2 | 11% |
| United States | 2 | 11% |
| France | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 8 | 44% |
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 % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Researcher | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Professor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 16 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 11% |
| Computer Science | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Chemistry | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 10 | 21% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 05 October 2019.
All research outputs
#2,609,755
of 23,312,088 outputs
Outputs from BMC Bioinformatics
#801
of 7,383 outputs
Outputs of similar age
#59,791
of 353,070 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 165 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,383 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 89% 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 353,070 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 83% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.