You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-702 |
| Pubmed ID | |
| Authors |
Adrienne N Moran Lauter, Gregory A Peiffer, Tengfei Yin, Steven A Whitham, Dianne Cook, Randy C Shoemaker, Michelle A Graham |
| Abstract |
Iron is an essential micronutrient for all living things, required in plants for photosynthesis, respiration and metabolism. A lack of bioavailable iron in soil leads to iron deficiency chlorosis (IDC), causing a reduction in photosynthesis and interveinal yellowing of leaves. Soybeans (Glycine max (L.) Merr.) grown in high pH soils often suffer from IDC, resulting in substantial yield losses. Iron efficient soybean cultivars maintain photosynthesis and have higher yields under IDC-promoting conditions than inefficient cultivars. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| France | 1 | 1% |
| Unknown | 73 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 12 | 16% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 4 | 5% |
| Professor | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 58% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Business, Management and Accounting | 2 | 3% |
| Environmental Science | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 May 2015.
All research outputs
#18,159,399
of 23,327,904 outputs
Outputs from BMC Genomics
#7,658
of 10,744 outputs
Outputs of similar age
#160,320
of 236,900 outputs
Outputs of similar age from BMC Genomics
#120
of 188 outputs
Altmetric has tracked 23,327,904 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 236,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.