| Title |
The plant phenological online database (PPODB): an online database for long-term phenological data
|
|---|---|
| Published in |
International Journal of Biometeorology, March 2013
|
| DOI | 10.1007/s00484-013-0650-2 |
| Pubmed ID | |
| Authors |
Jonas Dierenbach, Franz-W. Badeck, Jörg Schaber |
| Abstract |
We present an online database that provides unrestricted and free access to over 16 million plant phenological observations from over 8,000 stations in Central Europe between the years 1880 and 2009. Unique features are (1) a flexible and unrestricted access to a full-fledged database, allowing for a wide range of individual queries and data retrieval, (2) historical data for Germany before 1951 ranging back to 1880, and (3) more than 480 curated long-term time series covering more than 100 years for individual phenological phases and plants combined over Natural Regions in Germany. Time series for single stations or Natural Regions can be accessed through a user-friendly graphical geo-referenced interface. The joint databases made available with the plant phenological database PPODB render accessible an important data source for further analyses of long-term changes in phenology. The database can be accessed via www.ppodb.de . |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 10 | 21% |
| Professor | 5 | 11% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 28% |
| Environmental Science | 7 | 15% |
| Earth and Planetary Sciences | 7 | 15% |
| Computer Science | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 14 June 2022.
All research outputs
#2,442,326
of 22,663,969 outputs
Outputs from International Journal of Biometeorology
#235
of 1,287 outputs
Outputs of similar age
#21,277
of 197,409 outputs
Outputs of similar age from International Journal of Biometeorology
#5
of 16 outputs
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So far Altmetric has tracked 1,287 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 81% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.