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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping gene activity of Arabidopsis root hairs
|
|---|---|
| Published in |
Genome Biology, June 2013
|
| DOI | 10.1186/gb-2013-14-6-r67 |
| Pubmed ID | |
| Authors |
Ping Lan, Wenfeng Li, Wen-Dar Lin, Simonetta Santi, Wolfgang Schmidt |
| Abstract |
Quantitative information on gene activity at single cell-type resolution is essential for the understanding of how cells work and interact. Root hairs, or trichoblasts, tubular-shaped outgrowths of specialized cells in the epidermis, represent an ideal model for cell fate acquisition and differentiation in plants. |
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 Kingdom | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 107 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 32% |
| Student > Master | 17 | 16% |
| Researcher | 16 | 15% |
| Student > Bachelor | 7 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 59% |
| Biochemistry, Genetics and Molecular Biology | 25 | 23% |
| Mathematics | 1 | <1% |
| Medicine and Dentistry | 1 | <1% |
| Neuroscience | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 15 | 14% |
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 06 July 2013.
All research outputs
#14,535,626
of 25,371,288 outputs
Outputs from Genome Biology
#3,845
of 4,467 outputs
Outputs of similar age
#109,337
of 208,949 outputs
Outputs of similar age from Genome Biology
#51
of 66 outputs
Altmetric has tracked 25,371,288 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 208,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.