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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recommendations for open data science
|
|---|---|
| Published in |
Giga Science, May 2016
|
| DOI | 10.1186/s13742-016-0127-4 |
| Pubmed ID | |
| Authors |
Melissa Gymrek, Yossi Farjoun |
| Abstract |
Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| France | 2 | 10% |
| United States | 2 | 10% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Hong Kong | 1 | 5% |
| Belgium | 1 | 5% |
| Greece | 1 | 5% |
| Chile | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 48% |
| Scientists | 7 | 33% |
| Science communicators (journalists, bloggers, editors) | 3 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Student > Bachelor | 9 | 13% |
| Researcher | 8 | 12% |
| Student > Master | 8 | 12% |
| Librarian | 4 | 6% |
| Other | 18 | 26% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 19% |
| Engineering | 8 | 12% |
| Agricultural and Biological Sciences | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Medicine and Dentistry | 7 | 10% |
| Other | 14 | 21% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 28 January 2021.
All research outputs
#1,580,391
of 25,373,627 outputs
Outputs from Giga Science
#281
of 1,167 outputs
Outputs of similar age
#28,012
of 349,750 outputs
Outputs of similar age from Giga Science
#7
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 76% 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 349,750 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 91% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.