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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3425-x |
| Pubmed ID | |
| Authors |
Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Researcher | 10 | 19% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 4 | 7% |
| Other | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 13% |
| Agricultural and Biological Sciences | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Computer Science | 4 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Other | 10 | 19% |
| Unknown | 21 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 April 2020.
All research outputs
#15,604,607
of 23,201,298 outputs
Outputs from BMC Bioinformatics
#5,442
of 7,350 outputs
Outputs of similar age
#231,051
of 371,826 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 118 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,350 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 371,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.