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Mendeley readers
Attention Score in Context
| Title |
Combinatorial Rules of Precursor Specification Underlying Olfactory Neuron Diversity
|
|---|---|
| Published in |
Current Biology, November 2013
|
| DOI | 10.1016/j.cub.2013.10.053 |
| Pubmed ID | |
| Authors |
Qingyun Li, Tal Soo Ha, Sumie Okuwa, Yiping Wang, Qian Wang, S. Sean Millard, Dean P. Smith, Pelin Cayirlioglu Volkan |
| Abstract |
Sensory neuron diversity ensures optimal detection of the external world and is a hallmark of sensory systems. An extreme example is the olfactory system, as individual olfactory receptor neurons (ORNs) adopt unique sensory identities by typically expressing a single receptor gene from a large genomic repertoire. In Drosophila, about 50 different ORN classes are generated from a field of precursor cells, giving rise to spatially restricted and distinct clusters of ORNs on the olfactory appendages. Developmental strategies spawning ORN diversity from an initially homogeneous population of precursors are largely unknown. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 72 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 13 | 18% |
| Professor | 9 | 12% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 41% |
| Neuroscience | 15 | 20% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Engineering | 2 | 3% |
| Arts and Humanities | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 December 2013.
All research outputs
#3,798,287
of 25,371,288 outputs
Outputs from Current Biology
#6,601
of 14,674 outputs
Outputs of similar age
#41,655
of 315,403 outputs
Outputs of similar age from Current Biology
#73
of 178 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. This one has gotten more attention than average, scoring higher than 53% 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 315,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 178 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 56% of its contemporaries.