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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Helium: visualization of large scale plant pedigrees
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-259 |
| Pubmed ID | |
| Authors |
Paul D Shaw, Martin Graham, Jessie Kennedy, Iain Milne, David F Marshall |
| Abstract |
Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to integrate and visualize this data with pedigree structure, will enable breeders to make better decisions on the lines that are used in crossings to meet both the demands for increased yield/production and adaptation to climate change. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Australia | 1 | 9% |
| Norway | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Unknown | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| United States | 3 | 2% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Unknown | 125 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 25% |
| Researcher | 29 | 22% |
| Student > Master | 10 | 7% |
| Student > Bachelor | 8 | 6% |
| Professor > Associate Professor | 8 | 6% |
| Other | 24 | 18% |
| Unknown | 21 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 47% |
| Computer Science | 27 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Social Sciences | 2 | 1% |
| Medicine and Dentistry | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 26 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 September 2023.
All research outputs
#1,882,380
of 24,475,473 outputs
Outputs from BMC Bioinformatics
#418
of 7,541 outputs
Outputs of similar age
#18,900
of 234,478 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 130 outputs
Altmetric has tracked 24,475,473 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,541 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 94% 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 234,478 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 91% of its contemporaries.
We're also able to compare this research output to 130 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 92% of its contemporaries.