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Mendeley readers
Attention Score in Context
| Title |
AgBase: a functional genomics resource for agriculture
|
|---|---|
| Published in |
BMC Genomics, September 2006
|
| DOI | 10.1186/1471-2164-7-229 |
| Pubmed ID | |
| Authors |
Fiona M McCarthy, Nan Wang, G Bryce Magee, Bindu Nanduri, Mark L Lawrence, Evelyn B Camon, Daniel G Barrell, David P Hill, Mary E Dolan, W Paul Williams, Dawn S Luthe, Susan M Bridges, Shane C Burgess |
| Abstract |
Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Canada | 2 | 1% |
| India | 2 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Egypt | 1 | <1% |
| Belgium | 1 | <1% |
| Nigeria | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 157 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 23% |
| Researcher | 30 | 18% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 19 | 11% |
| Student > Doctoral Student | 15 | 9% |
| Other | 30 | 18% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 57% |
| Biochemistry, Genetics and Molecular Biology | 21 | 12% |
| Medicine and Dentistry | 7 | 4% |
| Immunology and Microbiology | 3 | 2% |
| Linguistics | 2 | 1% |
| Other | 16 | 9% |
| Unknown | 25 | 15% |
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 19 September 2013.
All research outputs
#4,696,781
of 22,790,780 outputs
Outputs from BMC Genomics
#1,998
of 10,647 outputs
Outputs of similar age
#12,165
of 67,427 outputs
Outputs of similar age from BMC Genomics
#4
of 32 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 67,427 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.