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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network meta-analysis correlates with analysis of merged independent transcriptome expression data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2705-9 |
| Pubmed ID | |
| Authors |
Christine Winter, Robin Kosch, Martin Ludlow, Albert D. M. E. Osterhaus, Klaus Jung |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| China | 1 | 10% |
| Spain | 1 | 10% |
| France | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 13 | 22% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 37% |
| Agricultural and Biological Sciences | 13 | 22% |
| Medicine and Dentistry | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 March 2019.
All research outputs
#2,547,250
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#771
of 7,400 outputs
Outputs of similar age
#58,867
of 353,227 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 165 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 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 well, scoring higher than 89% 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 353,227 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 83% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.