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Mendeley readers
Attention Score in Context
| Title |
Meiosis-specific gene discovery in plants: RNA-Seq applied to isolated Arabidopsis male meiocytes
|
|---|---|
| Published in |
BMC Plant Biology, December 2010
|
| DOI | 10.1186/1471-2229-10-280 |
| Pubmed ID | |
| Authors |
Changbin Chen, Andrew D Farmer, Raymond J Langley, Joann Mudge, John A Crow, Gregory D May, James Huntley, Alan G Smith, Ernest F Retzel |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| India | 2 | <1% |
| Mexico | 2 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Taiwan | 1 | <1% |
| China | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 234 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 31% |
| Researcher | 74 | 30% |
| Student > Master | 22 | 9% |
| Student > Bachelor | 13 | 5% |
| Professor | 10 | 4% |
| Other | 29 | 12% |
| Unknown | 25 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 179 | 72% |
| Biochemistry, Genetics and Molecular Biology | 33 | 13% |
| Environmental Science | 3 | 1% |
| Computer Science | 3 | 1% |
| Unspecified | 2 | <1% |
| Other | 4 | 2% |
| Unknown | 25 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 February 2024.
All research outputs
#7,403,254
of 25,508,813 outputs
Outputs from BMC Plant Biology
#563
of 3,596 outputs
Outputs of similar age
#47,667
of 184,907 outputs
Outputs of similar age from BMC Plant Biology
#5
of 21 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,596 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 83% 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 184,907 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.