| Title |
Finding useful data across multiple biomedical data repositories using DataMed
|
|---|---|
| Published in |
Nature Genetics, May 2017
|
| DOI | 10.1038/ng.3864 |
| Pubmed ID | |
| Authors |
Lucila Ohno-Machado, Susanna-Assunta Sansone, George Alter, Ian Fore, Jeffrey Grethe, Hua Xu, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, Anupama E Gururaj, Elizabeth Bell, Ergin Soysal, Nansu Zong, Hyeon-eui Kim |
X Demographics
The data shown below were collected from the profiles of 100 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 | 28 | 28% |
| United Kingdom | 5 | 5% |
| Spain | 5 | 5% |
| France | 3 | 3% |
| Canada | 2 | 2% |
| Switzerland | 2 | 2% |
| Brazil | 2 | 2% |
| Belgium | 2 | 2% |
| Argentina | 2 | 2% |
| Other | 12 | 12% |
| Unknown | 37 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 57% |
| Scientists | 40 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 26% |
| Student > Ph. D. Student | 23 | 17% |
| Other | 14 | 11% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 9 | 7% |
| Other | 31 | 23% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 23% |
| Agricultural and Biological Sciences | 22 | 17% |
| Biochemistry, Genetics and Molecular Biology | 18 | 14% |
| Medicine and Dentistry | 18 | 14% |
| Social Sciences | 7 | 5% |
| Other | 22 | 17% |
| Unknown | 15 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 14 May 2021.
All research outputs
#713,652
of 24,878,531 outputs
Outputs from Nature Genetics
#1,356
of 7,488 outputs
Outputs of similar age
#14,912
of 318,742 outputs
Outputs of similar age from Nature Genetics
#37
of 75 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.9. This one has done well, scoring higher than 81% 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 318,742 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 95% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.