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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CoVennTree: a new method for the comparative analysis of large datasets
|
|---|---|
| Published in |
Frontiers in Genetics, February 2015
|
| DOI | 10.3389/fgene.2015.00043 |
| Pubmed ID | |
| Authors |
Steffen C. Lott, Björn Voß, Wolfgang R. Hess, Claudia Steglich |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 13% |
| United States | 3 | 10% |
| Australia | 2 | 7% |
| United Kingdom | 2 | 7% |
| Germany | 2 | 7% |
| Switzerland | 2 | 7% |
| Brazil | 1 | 3% |
| Japan | 1 | 3% |
| Argentina | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 87% |
| Scientists | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 5% |
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 34 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Researcher | 10 | 25% |
| Student > Master | 7 | 18% |
| Professor | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 45% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Computer Science | 3 | 8% |
| Environmental Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 27 February 2015.
All research outputs
#1,999,857
of 25,381,783 outputs
Outputs from Frontiers in Genetics
#434
of 13,651 outputs
Outputs of similar age
#24,228
of 262,380 outputs
Outputs of similar age from Frontiers in Genetics
#14
of 149 outputs
Altmetric has tracked 25,381,783 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,651 research outputs from this source. They receive a mean Attention Score of 3.8. 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 262,380 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 149 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 91% of its contemporaries.