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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmark datasets of immune receptor-epitope structural complexes
|
|---|---|
| Published in |
BMC Bioinformatics, October 2019
|
| DOI | 10.1186/s12859-019-3109-6 |
| Pubmed ID | |
| Authors |
Swapnil Mahajan, Zhen Yan, Martin Closter Jespersen, Kamilla Kjærgaard Jensen, Paolo Marcatili, Morten Nielsen, Alessandro Sette, Bjoern Peters |
X Demographics
The data shown below were collected from the profiles of 17 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 States | 4 | 24% |
| Germany | 2 | 12% |
| United Kingdom | 2 | 12% |
| Isle of Man | 1 | 6% |
| Hong Kong | 1 | 6% |
| Israel | 1 | 6% |
| India | 1 | 6% |
| Norway | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 59% |
| Members of the public | 6 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Student > Master | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Agricultural and Biological Sciences | 3 | 13% |
| Environmental Science | 2 | 8% |
| Engineering | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 5 | 21% |
| Unknown | 6 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 October 2019.
All research outputs
#3,348,061
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#1,139
of 7,506 outputs
Outputs of similar age
#68,775
of 356,607 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 129 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 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 done well, scoring higher than 84% 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 356,607 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 80% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.