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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common characteristics of open source software development and applicability for drug discovery: a systematic review
|
|---|---|
| Published in |
Health Research Policy and Systems, September 2011
|
| DOI | 10.1186/1478-4505-9-36 |
| Pubmed ID | |
| Authors |
Christine Årdal, Annette Alstadsæter, John-Arne Røttingen |
| Abstract |
Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Indonesia | 1 | 1% |
| India | 1 | 1% |
| Finland | 1 | 1% |
| New Zealand | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Researcher | 11 | 15% |
| Student > Master | 8 | 11% |
| Professor > Associate Professor | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 20% |
| Medicine and Dentistry | 8 | 11% |
| Business, Management and Accounting | 8 | 11% |
| Social Sciences | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Other | 17 | 24% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 26 January 2018.
All research outputs
#2,194,110
of 22,653,392 outputs
Outputs from Health Research Policy and Systems
#310
of 1,200 outputs
Outputs of similar age
#11,423
of 131,738 outputs
Outputs of similar age from Health Research Policy and Systems
#1
of 6 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 74% 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 131,738 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them