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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
|
|---|---|
| Published in |
PLoS Computational Biology, July 2019
|
| DOI | 10.1371/journal.pcbi.1007007 |
| Pubmed ID | |
| Authors |
Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose |
X Demographics
The data shown below were collected from the profiles of 951 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 | 222 | 23% |
| United Kingdom | 47 | 5% |
| Spain | 33 | 3% |
| Germany | 31 | 3% |
| Canada | 30 | 3% |
| France | 24 | 3% |
| India | 22 | 2% |
| Australia | 19 | 2% |
| Brazil | 18 | 2% |
| Other | 201 | 21% |
| Unknown | 304 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 565 | 59% |
| Scientists | 369 | 39% |
| Science communicators (journalists, bloggers, editors) | 10 | 1% |
| Practitioners (doctors, other healthcare professionals) | 7 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 341 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 341 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 73 | 21% |
| Student > Ph. D. Student | 55 | 16% |
| Student > Master | 32 | 9% |
| Student > Doctoral Student | 19 | 6% |
| Student > Bachelor | 18 | 5% |
| Other | 54 | 16% |
| Unknown | 90 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 12% |
| Computer Science | 35 | 10% |
| Biochemistry, Genetics and Molecular Biology | 34 | 10% |
| Engineering | 24 | 7% |
| Neuroscience | 12 | 4% |
| Other | 89 | 26% |
| Unknown | 106 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 459. 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 12 September 2023.
All research outputs
#61,267
of 25,867,969 outputs
Outputs from PLoS Computational Biology
#38
of 9,061 outputs
Outputs of similar age
#1,130
of 361,057 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 167 outputs
Altmetric has tracked 25,867,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,061 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 particularly well, scoring higher than 99% 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 361,057 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 99% of its contemporaries.
We're also able to compare this research output to 167 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 99% of its contemporaries.