You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying pollen-vegetation relationships to reconstruct ancient forests using 19th-century forest composition and pollen data
|
|---|---|
| Published in |
Quaternary Science Reviews, April 2016
|
| DOI | 10.1016/j.quascirev.2016.01.012 |
| Authors |
Andria Dawson, Christopher J. Paciorek, Jason S. McLachlan, Simon Goring, John W. Williams, Stephen T. Jackson |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 7 | 47% |
| Canada | 1 | 7% |
| Hong Kong | 1 | 7% |
| Netherlands | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| France | 1 | <1% |
| Unknown | 100 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Researcher | 17 | 16% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 11 | 11% |
| Professor | 7 | 7% |
| Other | 10 | 10% |
| Unknown | 29 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 27 | 26% |
| Agricultural and Biological Sciences | 19 | 18% |
| Earth and Planetary Sciences | 17 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 34 | 33% |
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 11 May 2017.
All research outputs
#4,280,834
of 26,017,215 outputs
Outputs from Quaternary Science Reviews
#1,186
of 4,125 outputs
Outputs of similar age
#62,733
of 318,395 outputs
Outputs of similar age from Quaternary Science Reviews
#11
of 51 outputs
Altmetric has tracked 26,017,215 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 4,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. 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 318,395 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 80% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.