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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community
|
|---|---|
| Published in |
BMC Bioinformatics, November 2009
|
| DOI | 10.1186/1471-2105-10-s14-s2 |
| Pubmed ID | |
| Authors |
Vishwas S Chavan, Peter Ingwersen |
| Abstract |
Currently primary scientific data, especially that dealing with biodiversity, is neither easily discoverable nor accessible. Amongst several impediments, one is a lack of professional recognition of scientific data publishing efforts. A possible solution is establishment of a 'Data Publishing Framework' which would encourage and recognise investments and efforts by institutions and individuals towards management, and publishing of primary scientific data potentially on a par with recognitions received for scholarly publications. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 11% |
| Germany | 6 | 3% |
| United Kingdom | 5 | 2% |
| Netherlands | 3 | 1% |
| Indonesia | 2 | <1% |
| Mexico | 2 | <1% |
| France | 1 | <1% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 12 | 6% |
| Unknown | 155 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 30% |
| Student > Ph. D. Student | 34 | 16% |
| Other | 25 | 12% |
| Student > Master | 23 | 11% |
| Professor > Associate Professor | 12 | 6% |
| Other | 41 | 19% |
| Unknown | 14 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 79 | 37% |
| Computer Science | 49 | 23% |
| Environmental Science | 21 | 10% |
| Social Sciences | 17 | 8% |
| Arts and Humanities | 7 | 3% |
| Other | 20 | 9% |
| Unknown | 19 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 23 August 2011.
All research outputs
#1,441,769
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#220
of 7,506 outputs
Outputs of similar age
#4,109
of 96,850 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 58 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th 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 97% 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 96,850 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 58 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 96% of its contemporaries.