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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Indicators for the Data Usage Index (DUI): an incentive for publishing primary biodiversity data through global information infrastructure
|
|---|---|
| Published in |
BMC Bioinformatics, December 2011
|
| DOI | 10.1186/1471-2105-12-s15-s3 |
| Pubmed ID | |
| Authors |
Peter Ingwersen, Vishwas Chavan |
| Abstract |
A professional recognition mechanism is required to encourage expedited publishing of an adequate volume of 'fit-for-use' biodiversity data. As a component of such a recognition mechanism, we propose the development of the Data Usage Index (DUI) to demonstrate to data publishers that their efforts of creating biodiversity datasets have impact by being accessed and used by a wide spectrum of user communities. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Netherlands | 1 | 14% |
| Korea, Republic of | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Germany | 3 | 3% |
| United Kingdom | 3 | 3% |
| Spain | 2 | 2% |
| Norway | 1 | 1% |
| Denmark | 1 | 1% |
| Finland | 1 | 1% |
| Netherlands | 1 | 1% |
| Nigeria | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 76 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 32% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 11 | 12% |
| Librarian | 7 | 7% |
| Other | 7 | 7% |
| Other | 19 | 20% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 33% |
| Computer Science | 22 | 23% |
| Social Sciences | 15 | 16% |
| Environmental Science | 5 | 5% |
| Earth and Planetary Sciences | 4 | 4% |
| Other | 8 | 9% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 June 2012.
All research outputs
#1,650,363
of 24,244,537 outputs
Outputs from BMC Bioinformatics
#305
of 7,506 outputs
Outputs of similar age
#11,450
of 250,161 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 100 outputs
Altmetric has tracked 24,244,537 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 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 250,161 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 100 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 93% of its contemporaries.