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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving MetFrag with statistical learning of fragment annotations
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2954-7 |
| Pubmed ID | |
| Authors |
Christoph Ruttkies, Steffen Neumann, Stefan Posch |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 29% |
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 24% |
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 10 | 14% |
| Professor | 6 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 17 | 24% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Agricultural and Biological Sciences | 8 | 11% |
| Environmental Science | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 19 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 October 2019.
All research outputs
#7,277,617
of 23,151,828 outputs
Outputs from BMC Bioinformatics
#2,866
of 7,339 outputs
Outputs of similar age
#129,053
of 347,684 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 160 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,339 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 gotten more attention than average, scoring higher than 60% 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 347,684 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 62% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.