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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning protein binding affinity using privileged information
|
|---|---|
| Published in |
BMC Bioinformatics, November 2018
|
| DOI | 10.1186/s12859-018-2448-z |
| Pubmed ID | |
| Authors |
Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Researcher | 8 | 20% |
| Student > Bachelor | 7 | 17% |
| Other | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Computer Science | 6 | 15% |
| Medicine and Dentistry | 4 | 10% |
| Chemistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 10 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 July 2023.
All research outputs
#6,144,454
of 24,674,524 outputs
Outputs from BMC Bioinformatics
#2,092
of 7,566 outputs
Outputs of similar age
#101,602
of 348,590 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 167 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 348,590 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 70% of its contemporaries.
We're also able to compare this research output to 167 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 72% of its contemporaries.