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Mendeley readers
Attention Score in Context
Title |
What google maps can do for biomedical data dissemination: examples and a design study
|
---|---|
Published in |
BMC Research Notes, May 2013
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DOI | 10.1186/1756-0500-6-179 |
Pubmed ID | |
Authors |
Radu Jianu, David H Laidlaw |
Abstract |
Biologists often need to assess whether unfamiliar datasets warrant the time investment required for more detailed exploration. Basing such assessments on brief descriptions provided by data publishers is unwieldy for large datasets that contain insights dependent on specific scientific questions. Alternatively, using complex software systems for a preliminary analysis may be deemed as too time consuming in itself, especially for unfamiliar data types and formats. This may lead to wasted analysis time and discarding of potentially useful data. |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 4 | 40% |
United States | 2 | 20% |
Mexico | 1 | 10% |
Chile | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 6% |
Netherlands | 1 | 2% |
Uganda | 1 | 2% |
Mexico | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 45 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 25% |
Student > Bachelor | 10 | 19% |
Other | 6 | 12% |
Student > Ph. D. Student | 5 | 10% |
Student > Master | 4 | 8% |
Other | 10 | 19% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 25% |
Computer Science | 11 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 8% |
Engineering | 3 | 6% |
Medicine and Dentistry | 3 | 6% |
Other | 11 | 21% |
Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 September 2016.
All research outputs
#4,805,073
of 23,577,761 outputs
Outputs from BMC Research Notes
#731
of 4,305 outputs
Outputs of similar age
#40,064
of 194,370 outputs
Outputs of similar age from BMC Research Notes
#13
of 63 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 82% 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 194,370 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 79% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.