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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PolyMorphPredict: A Universal Web-Tool for Rapid Polymorphic Microsatellite Marker Discovery From Whole Genome and Transcriptome Data
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2019
|
| DOI | 10.3389/fpls.2018.01966 |
| Pubmed ID | |
| Authors |
Ritwika Das, Vasu Arora, Sarika Jaiswal, MA Iquebal, UB Angadi, Samar Fatma, Rakesh Singh, Sandip Shil, Anil Rai, Dinesh Kumar |
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 % |
|---|---|---|
| India | 1 | 20% |
| United States | 1 | 20% |
| Nigeria | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Computer Science | 2 | 6% |
| Unspecified | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 July 2019.
All research outputs
#13,285,078
of 23,128,387 outputs
Outputs from Frontiers in Plant Science
#5,974
of 20,780 outputs
Outputs of similar age
#206,464
of 437,148 outputs
Outputs of similar age from Frontiers in Plant Science
#216
of 446 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,780 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 437,148 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 52% of its contemporaries.
We're also able to compare this research output to 446 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 50% of its contemporaries.