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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CicArMiSatDB: the chickpea microsatellite database
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-212 |
| Pubmed ID | |
| Authors |
Dadakhalandar Doddamani, Mohan AVSK Katta, Aamir W Khan, Gaurav Agarwal, Trushar M Shah, Rajeev K Varshney |
| Abstract |
Chickpea (Cicer arietinum) is a widely grown legume crop in tropical, sub-tropical and temperate regions. Molecular breeding approaches seem to be essential for enhancing crop productivity in chickpea. Until recently, limited numbers of molecular markers were available in the case of chickpea for use in molecular breeding. However, the recent advances in genomics facilitated the development of large scale markers especially SSRs (simple sequence repeats), the markers of choice in any breeding program. Availability of genome sequence very recently opens new avenues for accelerating molecular breeding approaches for chickpea improvement. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Norway | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 35% |
| Student > Ph. D. Student | 7 | 19% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 68% |
| Computer Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 July 2023.
All research outputs
#6,509,940
of 24,661,808 outputs
Outputs from BMC Bioinformatics
#2,283
of 7,565 outputs
Outputs of similar age
#57,369
of 233,491 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 149 outputs
Altmetric has tracked 24,661,808 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,565 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 gotten more attention than average, scoring higher than 69% 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 233,491 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 74% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.