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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2876-4 |
| Pubmed ID | |
| Authors |
Ryan O. Schenck, Eszter Lakatos, Chandler Gatenbee, Trevor A. Graham, Alexander R.A. Anderson |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| United Kingdom | 4 | 12% |
| Germany | 2 | 6% |
| Hong Kong | 1 | 3% |
| Italy | 1 | 3% |
| Sweden | 1 | 3% |
| Finland | 1 | 3% |
| Spain | 1 | 3% |
| Singapore | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 61% |
| Members of the public | 11 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 26% |
| Student > Ph. D. Student | 27 | 16% |
| Other | 10 | 6% |
| Student > Master | 10 | 6% |
| Student > Bachelor | 9 | 5% |
| Other | 19 | 12% |
| Unknown | 47 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 28% |
| Agricultural and Biological Sciences | 16 | 10% |
| Medicine and Dentistry | 14 | 9% |
| Immunology and Microbiology | 13 | 8% |
| Computer Science | 9 | 5% |
| Other | 16 | 10% |
| Unknown | 50 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 22 September 2022.
All research outputs
#1,726,943
of 25,393,071 outputs
Outputs from BMC Bioinformatics
#307
of 7,695 outputs
Outputs of similar age
#37,330
of 364,149 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 201 outputs
Altmetric has tracked 25,393,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,695 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 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 364,149 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 89% of its contemporaries.
We're also able to compare this research output to 201 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 96% of its contemporaries.