| Title |
Pan European Phenological database (PEP725): a single point of access for European data
|
|---|---|
| Published in |
International Journal of Biometeorology, February 2018
|
| DOI | 10.1007/s00484-018-1512-8 |
| Pubmed ID | |
| Authors |
Barbara Templ, Elisabeth Koch, Kjell Bolmgren, Markus Ungersböck, Anita Paul, Helfried Scheifinger, This Rutishauser, Montserrat Busto, Frank-M. Chmielewski, Lenka Hájková, Sabina Hodzić, Frank Kaspar, Barbara Pietragalla, Ramiro Romero-Fresneda, Anne Tolvanen, Višnja Vučetič, Kirsten Zimmermann, Ana Zust |
| Abstract |
The Pan European Phenology (PEP) project is a European infrastructure to promote and facilitate phenological research, education, and environmental monitoring. The main objective is to maintain and develop a Pan European Phenological database (PEP725) with an open, unrestricted data access for science and education. PEP725 is the successor of the database developed through the COST action 725 "Establishing a European phenological data platform for climatological applications" working as a single access point for European-wide plant phenological data. So far, 32 European meteorological services and project partners from across Europe have joined and supplied data collected by volunteers from 1868 to the present for the PEP725 database. Most of the partners actively provide data on a regular basis. The database presently holds almost 12 million records, about 46 growing stages and 265 plant species (including cultivars), and can be accessed via http://www.pep725.eu/ . Users of the PEP725 database have studied a diversity of topics ranging from climate change impact, plant physiological question, phenological modeling, and remote sensing of vegetation to ecosystem productivity. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 25% |
| Austria | 2 | 25% |
| Switzerland | 1 | 13% |
| Finland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 169 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 20% |
| Student > Ph. D. Student | 23 | 14% |
| Student > Master | 12 | 7% |
| Professor > Associate Professor | 8 | 5% |
| Student > Bachelor | 8 | 5% |
| Other | 25 | 15% |
| Unknown | 60 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 34 | 20% |
| Agricultural and Biological Sciences | 23 | 14% |
| Earth and Planetary Sciences | 10 | 6% |
| Engineering | 6 | 4% |
| Social Sciences | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 76 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 16 April 2022.
All research outputs
#1,833,329
of 24,993,752 outputs
Outputs from International Journal of Biometeorology
#139
of 1,374 outputs
Outputs of similar age
#39,117
of 336,510 outputs
Outputs of similar age from International Journal of Biometeorology
#6
of 25 outputs
Altmetric has tracked 24,993,752 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,374 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 89% 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 336,510 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 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.