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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling
|
|---|---|
| Published in |
Scientific Data, June 2017
|
| DOI | 10.1038/sdata.2017.78 |
| Pubmed ID | |
| Authors |
Greta C. Vega, Luis R. Pertierra, Miguel Ángel Olalla-Tárraga |
| Abstract |
Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2 m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe. |
X Demographics
The data shown below were collected from the profiles of 112 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 17 | 15% |
| United States | 14 | 13% |
| United Kingdom | 11 | 10% |
| Germany | 7 | 6% |
| Ecuador | 4 | 4% |
| Mexico | 3 | 3% |
| Netherlands | 3 | 3% |
| Denmark | 3 | 3% |
| Australia | 2 | 2% |
| Other | 19 | 17% |
| Unknown | 29 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 58 | 52% |
| Scientists | 50 | 45% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 172 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 24% |
| Student > Ph. D. Student | 33 | 19% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 20 | 11% |
| Unknown | 36 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 38% |
| Environmental Science | 38 | 22% |
| Medicine and Dentistry | 4 | 2% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Veterinary Science and Veterinary Medicine | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 48 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 09 July 2019.
All research outputs
#674,038
of 25,378,162 outputs
Outputs from Scientific Data
#257
of 3,313 outputs
Outputs of similar age
#14,296
of 333,332 outputs
Outputs of similar age from Scientific Data
#3
of 40 outputs
Altmetric has tracked 25,378,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has done particularly well, scoring higher than 92% 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 333,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.