| Title |
A preliminary review of influential works in data-driven discovery
|
|---|---|
| Published in |
SpringerPlus, August 2016
|
| DOI | 10.1186/s40064-016-2888-8 |
| Pubmed ID | |
| Authors |
Mark Stalzer, Chris Mentzel |
| Abstract |
The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 applications and each applicant had the opportunity to list up to five influential works in the general field of "Big Data" for scientific discovery. We collected nearly 5000 references and 53 works were cited at least six times. This paper contains our preliminary findings. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 13 | 87% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 5 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Norway | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Portugal | 1 | 1% |
| Argentina | 1 | 1% |
| Canada | 1 | 1% |
| Japan | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 59 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 21% |
| Researcher | 12 | 17% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Other | 17 | 24% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 26% |
| Computer Science | 16 | 23% |
| Business, Management and Accounting | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 February 2019.
All research outputs
#3,485,483
of 25,225,928 outputs
Outputs from SpringerPlus
#195
of 1,868 outputs
Outputs of similar age
#61,321
of 377,081 outputs
Outputs of similar age from SpringerPlus
#31
of 249 outputs
Altmetric has tracked 25,225,928 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 89% 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 377,081 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.