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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A rapid, inexpensive, and semi-quantitative method for determining pollen tube extension using fluorescence
|
|---|---|
| Published in |
Plant Methods, January 2014
|
| DOI | 10.1186/1746-4811-10-3 |
| Pubmed ID | |
| Authors |
Emily Hartman, Clara Levy, David M Kern, Mark A Johnson, Amit Basu |
| Abstract |
Pollen tubes extend rapidly when pollen grains are incubated in defined media. Tube extension requires many critical functions of plant cells including molecular signaling, cytoskeleton remodeling, secretion, and cell wall synthesis. Consequently, pollen tube growth has been established as a way to conduct primary screens of chemical libraries to identify compounds that perturb key cellular processes in plants. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| Nigeria | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 56% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Engineering | 2 | 5% |
| Chemistry | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 10 | 23% |
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 31 March 2014.
All research outputs
#7,381,672
of 22,741,406 outputs
Outputs from Plant Methods
#484
of 1,077 outputs
Outputs of similar age
#91,441
of 305,708 outputs
Outputs of similar age from Plant Methods
#7
of 10 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,077 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 305,708 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 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.