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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leading a Statistical Bioinformatics Lab: It's All About Finding Balance
|
|---|---|
| Published in |
PLoS Computational Biology, November 2013
|
| DOI | 10.1371/journal.pcbi.1003333 |
| Pubmed ID | |
| Authors |
Olga Vitek |
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 % |
|---|---|---|
| United States | 6 | 20% |
| Netherlands | 3 | 10% |
| Canada | 3 | 10% |
| Germany | 3 | 10% |
| Switzerland | 2 | 7% |
| United Kingdom | 2 | 7% |
| India | 2 | 7% |
| France | 1 | 3% |
| Australia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 53% |
| Members of the public | 13 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 12% |
| Sweden | 2 | 4% |
| Brazil | 1 | 2% |
| Portugal | 1 | 2% |
| Canada | 1 | 2% |
| France | 1 | 2% |
| Unknown | 37 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 41% |
| Professor | 7 | 14% |
| Student > Ph. D. Student | 7 | 14% |
| Professor > Associate Professor | 7 | 14% |
| Student > Postgraduate | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 47% |
| Biochemistry, Genetics and Molecular Biology | 9 | 18% |
| Computer Science | 4 | 8% |
| Physics and Astronomy | 4 | 8% |
| Psychology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 04 July 2021.
All research outputs
#1,786,817
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#1,547
of 8,960 outputs
Outputs of similar age
#16,586
of 228,797 outputs
Outputs of similar age from PLoS Computational Biology
#22
of 150 outputs
Altmetric has tracked 25,374,647 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 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 82% 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 228,797 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 92% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.