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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioReader: a text mining tool for performing classification of biomedical literature
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-019-2607-x |
| Pubmed ID | |
| Authors |
Christian Simon, Kristian Davidsen, Christina Hansen, Emily Seymour, Mike Bogetofte Barnkob, Lars Rønn Olsen |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Denmark | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 17% |
| Researcher | 21 | 14% |
| Student > Master | 19 | 13% |
| Professor | 9 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 24 | 16% |
| Unknown | 44 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 20% |
| Agricultural and Biological Sciences | 18 | 12% |
| Medicine and Dentistry | 11 | 7% |
| Engineering | 10 | 7% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Other | 20 | 13% |
| Unknown | 51 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 September 2019.
All research outputs
#2,069,971
of 23,622,736 outputs
Outputs from BMC Bioinformatics
#518
of 7,410 outputs
Outputs of similar age
#51,122
of 440,706 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 196 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,410 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 done particularly well, scoring higher than 93% 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 440,706 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 88% of its contemporaries.
We're also able to compare this research output to 196 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 90% of its contemporaries.